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Journal articles on the topic 'Palm print Pattern'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Lubab, H. Albak, Rafi Omar Al-Nima Raid, and Hamid Salih Arwa. "Palm print verification based deep learning." TELKOMNIKA (Telecommunication, Computing, Electronics and Control) 19, no. 3 (2021): 851–57. https://doi.org/10.12928/telkomnika.v19i3.16573.

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In this paper, we consider a palm print characteristic which has taken wide attentions in recent studies. We focused on palm print verification problem by designing a deep network called a palm convolutional neural network (PCNN). This network is adapted to deal with two-dimensional palm print images. It is carefully designed and implemented for palm print data. Palm prints from the Hong Kong Polytechnic University Contact-free (PolyUC) 3D/2D hand images dataset are applied and evaluated. The results have reached the accuracy of 97.67%, this performance is superior and it shows that our propos

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Kanchana, S., and G. Balakrishnan. "Palm-Print Pattern Matching Based on Features Using Rabin-Karp for Person Identification." Scientific World Journal 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/382697.

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Palm-print based individual identification is regarded as an effectual method for identifying persons with high confidence. Palm-print with larger inner surface of hand contains many features such as principle lines, ridges, minutiae points, singular points, and textures. Feature based pattern matching has faced the challenge that the spatial positional variations occur between the training and test samples. To perform effective palm-print features matching, Rabin-Karp Palm-Print Pattern Matching (RPPM) method is proposed in this paper. With the objective of improving the accuracy of pattern m

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Pushpa, N. B., and N. B. Prajwala. "A Scientific Analysis to Observe Uniqueness in Lip Print Pattern." International Journal of Innovative Technology and Exploring Engineering 10, no. 4 (2021): 196–98. http://dx.doi.org/10.35940/ijitee.d8571.0210421.

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Every individual have their unique identification like palm print, signature, finger print, face recognition, lip print etc.. here in this research one such effort is made to analyses lip print and identify the individual using their lip print. The wrinkle and grooves pattern on the lips has individual characteristics like tongue prints, face recognition, iris pattern, fingerprints. Cheiloscopy is a forensic investigation technique that deals with identification of humans based on lips traces. Image processing technique is used, lip print of the individual is captured, processed and analyzed f

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Dr., N. B. Pushpa*, and Prajwala N.B. "A Scientific Analysis to Observe Uniqueness in Lip Print Pattern." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 10, no. 4 (2021): 196–98. https://doi.org/10.35940/ijitee.D8571.0210421.

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Every individual have their unique identification like palm print, signature, finger print, face recognition, lip print etc.. here in this research one such effort is made to analyses lip print and identify the individual using their lip print. The wrinkle and grooves pattern on the lips has individual characteristics like tongue prints, face recognition, iris pattern, fingerprints. Cheiloscopy is a forensic investigation technique that deals with identification of humans based on lips traces. Image processing technique is used, lip print of the individual is captured, processed and analyzed f

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Pranav Khare and Shristi Srivastava. "AI-Driven Palm Print Authentication: A comprehensive Analysis of Deep Learning Approaches for Efficient Biometrics." International Journal of Science and Research Archive 6, no. 1 (2022): 318–27. http://dx.doi.org/10.30574/ijsra.2022.6.1.0158.

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Palmprint recognition is a kind of biometric identification that confirms a person's identity by analyzing certain discriminative characteristics found on their palm. The benefits of contactlessness, stability, and security have made it a popular choice. This is why a palmprint is a reliable biometric for human identification due to its unique characteristics. The area of people recognition is only one of several that has benefited from the proliferation of better computer techniques and uses of artificial intelligence (AI). In this research, we survey the state-of-the-art in image processing

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Lawal, Aderonke, Segun Aina, Samuel Okegbile, Seun Ayeni, Dare Omole, and Adeniran Ishola Oluwaranti. "Palm Vein Recognition System Based on Derived Pattern and Feature Vectors." International Journal of Digital Literacy and Digital Competence 8, no. 2 (2017): 56–72. http://dx.doi.org/10.4018/ijdldc.2017040104.

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Biometrics is a technology for recognition under which Palm vein recognition stems. They are of crucial importance in various applications of high sensitivity. This article develops a palm vein recognition model, based on derived pattern and feature vectors. All the palm print images used in this work were obtained from CASIA Multi-Spectral Palmprint Image Database V1.0 (CASIA database). First, a Region of Interest (ROI) was identified and extracted from the palm print images. Next, Histogram Equalization was used to enhance the area of the palm print image in the Region of Interest. The enhan

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Li, Fang, Ying He, and Min Qi Zhang. "Automatic Schizophrenia Prediction Using Palm-Print Line Features." Applied Mechanics and Materials 519-520 (February 2014): 568–71. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.568.

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Palm-print has a wide range of applications in personal identification, disease diagnosis, and athletes selection. This paper focuses on automatic schizophrenia prediction based on the anomalies in the handprints of patients with schizophrenia. The application is an image processing system, which works on the basis of the relationship between palm print pattern and schizophrenia. The images of human palm form input to the system. Then, system applies digital image processing and analysis techniques on input images to identify certain features in the image. Based on the certain features capture

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Han, Chin-Chuan, Hsu-Liang Cheng, Chih-Lung Lin, and Kuo-Chin Fan. "Personal authentication using palm-print features." Pattern Recognition 36, no. 2 (2003): 371–81. http://dx.doi.org/10.1016/s0031-3203(02)00037-7.

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Kumar, V. D. Ambeth, V. D. Ashok Kumar, S. Malathi, and P. Jagaeedesh. "Intruder Identification Using Footprint Recognition with PCA and SVM Classifiers." Advanced Materials Research 984-985 (July 2014): 1345–49. http://dx.doi.org/10.4028/www.scientific.net/amr.984-985.1345.

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In modern digital era authentication has been done using biometric recognition. This biometric includes finger print, footprint, facial recognition, DNA of a person’s gene, hand palm print and eye’s iris recognition. The widely used among these is finger print and iris recognition. In this work we proposed a biometric recognition using footprints of a person. Earlier work deals with capturing footprint on a paper or on a surface. This won’t give us accurate foot print, since it depends on nature of the surface, quality of the paper and proper placement of the foot to give good foot print impre

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Mohit, Kumar Verma, and Saif Wajid Mohd. "A Multimodal Biometric System using Iris and Palmprint." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 1892–96. https://doi.org/10.35940/ijeat.C5236.029320.

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A biometric system is basically a system of image recognition that uses bio metric characteristics to identify individuals. The thesis introduces a biometric multimodal system that is based on iris-based Palm Print verification and fusion. We suggest an approach to extracting features from each modality using four-level decomposition of the wavelet packet. It includes 256 packets capable of generating a simple binary code. Dictate standardized thresholds based on the first three highest energy peaks that would impact 0 or 1 for each wavelet packet. Specific fusion approaches were evaluated at

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Ranjit, Nirju, Bidur Adhikari, Rajani Shrestha, et al. "Palm Creases Analysis in Students and Staff of a Teaching Hospital in Kathmandu." Medical Journal of Shree Birendra Hospital 18, no. 1 (2019): 51–58. http://dx.doi.org/10.3126/mjsbh.v18i1.21039.

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Introduction: Palm creases have been studied for a long time and have been recently found to be helpful in tracking underlying medical and genetic conditions. Scientific study and typing of palm prints have been found to be lacking in the Nepalese population Methods: A cross sectional study was done on 252 subjects, 153 male and 99 females, from Kathmandu, Nepal. Subjects were selected by purposive sampling from different age groups. Demographic profile including age, sex, and handedness was collected. Palm print pattern was recorded by digital photography. Each photograph was analysed v

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Debta, Priyanka, FakirMohan Debta, Ruchi Bhuyan, SantoshKumar Swain, MaheshChandra Sahu, and Saswati Siddhartha. "Heritability and correlation of lip print, palm print, fingerprint pattern and blood group in twin population." Journal of Oral and Maxillofacial Pathology 22, no. 3 (2018): 451. http://dx.doi.org/10.4103/jomfp.jomfp_216_17.

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Alsubari, A., S. A. Hannan, M. Alzahrani, and R. J. Ramteke. "Composite Feature Extraction and Classification for Fusion of Palm-Print and Iris Biometric Traits." Engineering, Technology & Applied Science Research 9, no. 1 (2019): 3807–13. http://dx.doi.org/10.48084/etasr.2500.

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Palm-print and iris biometric traits fusion are implemented in this paper. The region of interest (ROI) of a palm is extracted by using the valley detection algorithm and the ROI of an iris is extracted based on the neighbor-pixels value algorithm (NPVA). Statistical local binary pattern (SLBP) is applied to extract the local features of palm and iris. For enhancing the palm features, a combination of histogram of oriented gradient (HOG) and discrete cosine transform (DCT) is applied. Gabor-Zernike moment is used to extract the iris features. This experimentation was carried out in two modes:

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Alsubari, Akram, Shaikh Abdul Hannan, Mohammad Eid Alzahrani, and R. J. Ramteke. "Composite Feature Extraction and Classification for Fusion of Palm-Print and Iris Biometric Traits." Engineering, Technology & Applied Science Research 9, no. 1 (2019): 3807–13. https://doi.org/10.5281/zenodo.2576306.

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Palm-print and iris biometric traits fusion are implemented in this paper. The region of interest (ROI) of a palm is extracted by using the valley detection algorithm and the ROI of an iris is extracted based on the neighbor-pixels value algorithm (NPVA). Statistical local binary pattern (SLBP) is applied to extract the local features of palm and iris. For enhancing the palm features, a combination of histogram of oriented gradient (HOG) and discrete cosine transform (DCT) is applied. Gabor-Zernike moment is used to extract the iris features. This experimentation was carried out in two modes:

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Fang, Wang. "The Design of Library Management System Based on Internet of Things and Hand Lines Recognition System." Applied Mechanics and Materials 672-674 (October 2014): 1985–90. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.1985.

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For an ordinary individual biometric systems and technology, such as fingerprint recognition, palm recognition, face recognition or iris recognition, or late detection from a single object has crippled so that they have the characteristics of unity and limitations, this paper combining fingerprint and hand palm pattern recognition technology, taking into account the complexity of the image pattern and diversity, we propose a dual recognition algorithm, which greatly makes up for lack of a single fingerprint or palm print recognition method. The technology used in library management system than

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Al-Taie, Sara A. Mohammed, and Baydaa I. Khaleel. "Palm Print Recognition Using Intelligent Techniques: A review." Jurnal Ilmiah Teknik Elektro Komputer dan Informatika 9, no. 1 (2023): 156–64. https://doi.org/10.26555/jiteki.v9i1.25777.

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Hand or Palm print recognition systems are one of the efficient people recognition and authentication systems that provide high-security levels by approving the entering and exiting of people such as employees in the work field or companies. The basis for using palmprints lies in the fact that no two individuals have exactly the same palmprint pattern, moreover palmprints remain more or less stablethroughout the lifetime and are easily obtainable using standard imaging techniques. Palm print recognition systems process picture data from a photograph of a person's palm and compare it to a recor

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Zīle, Aelita. "POSSIBILITIES OF RECOVERY AND VISUALIZATION OF LATENT PAPILLAE PATTERN PRINTS FROM THE SKIN OF A DEAD PERSON. RESULTS OF A SERIES OF EXPERIMENTS." Administrative and Criminal Justice 3, no. 80 (2017): 12. http://dx.doi.org/10.17770/acj.v3i80.2784.

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The aim of the experiment conducted by the author was to research and analyse the possibilities of leaving of latent papillae pattern prints on the skin of a dead person by natural sweat and grease substance, possibilities of transferring of them to papillae pattern prints (trace-leaving object) from other parts of the body without additional sweat and grease substance, as well as possibilities of recovery and visualization of these prints using combinations of different adhesive reagents and reagents used for their recovery. In the framework of a series of experiments 1419 latent papillae pat

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Affan, Usman, and I. S. El-Ladan. "Distribution and sexual dimorphism of palm print variable (Palm creases) among Hausa of Kano and Zaria, Nigeria." Bayero Journal of Pure and Applied Sciences 12, no. 1 (2020): 133–38. http://dx.doi.org/10.4314/bajopas.v12i1.22s.

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Dermatoglyphic features due to its permanency, genetic influence as well as number of easily observable and measurable characters may be considered one of the most suitable parameters for population variability and have been used extensively to characterize and differentiate human populations, hence, are highly suitable for studying population variation. The aim of the study is to analyze palm prints (palm creases) among Hausas of Kano and Zaria. A total of 600 subjects comprising of 300 participants from two original Hausa metropolis (Kano and Zaria) with 1:1 male to female ratio participated

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Al-Mahafzah, Harbi, Tamer AbuKhalil, Malek Alksasbeh, and Bassam Alqaralleh. "Multi-modal palm-print and hand-vein biometric recognition at sensor level fusion." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (2023): 1954. http://dx.doi.org/10.11591/ijece.v13i2.pp1954-1963.

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When it is important to authenticate a person based on his or her biometric qualities, most systems use a single modality (e.g. fingerprint or palm print) for further analysis at higher levels. Rather than using higher levels, this research recommends using two biometric features at the sensor level. The Log-Gabor filter is used to extract features and, as a result, recognize the pattern, because the data acquired from images is sampled at various spacing. Using the two fused modalities, the suggested system attained greater accuracy. Principal component analysis was performed to reduce the di

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Harbi, Al-Mahafzah, AbuKhalil Tamer, Alksasbeh Malek, and Alqaralleh Bassam. "Multi-modal palm-print and hand-vein biometric recognition at sensor level fusion." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (2023): 1954–63. https://doi.org/10.11591/ijece.v13i2.pp1954-1963.

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When it is important to authenticate a person based on his or her biometric qualities, most systems use a single modality (e.g. fingerprint or palm print) for further analysis at higher levels. Rather than using higher levels, this research recommends using two biometric features at the sensor level. The Log-Gabor filter is used to extract features and, as a result, recognize the pattern, because the data acquired from images is sampled at various spacing. Using the two fused modalities, the suggested system attained greater accuracy. Principal component analysis was performed to reduce the di

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Verma, Dipti, and Sipi Dubey. "Fuzzy Brain Storm Optimization and Adaptive Thresholding for Multimodal Vein-Based Recognition System." International Journal of Pattern Recognition and Artificial Intelligence 31, no. 05 (2017): 1756007. http://dx.doi.org/10.1142/s0218001417560079.

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Nowadays, conventional security method of using passwords can be easily forged by unauthorized person. Hence, biometric cues such as fingerprints, voice, palm print, and face are more preferable for recognition but to preserve the liveliness, another one important biometric trait is vein pattern, which is formed by the subcutaneous blood vessels that contain all the achievable recognition properties. Accordingly, in this paper, we propose a multibiometric system using palm vein, hand vein, and finger vein. Here, Holoentropy-based thresholding mechanism is newly developed for extracting the vei

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Pontoh, Fransisca, Henry V. F. Kainde, and Yuri Vanli Akay. "Teknik pengenalan pembuluh darah punggung tangan berbasis fitur local binary pattern." JURNAL WIDYA 2, no. 2 (2021): 198–203. http://dx.doi.org/10.54593/awl.v2i2.15.

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Teknologi biometrik untuk mengidentifikasi dan mengenal karakteristik bagian tubuh manusia yang unik dan tetap sudah banyak dilakukan untuk menjadi bagian dari sistem keamanan di berbagai bidang seperti sidik jari, palm print, wajah, dan iris. Tetapi semua teknik ini masih memiliki keterbatasan. Vena punggung tangan merupakan salah satu bagian dari sistem biometrik populer yang memiliki karakteristik tekstur yang berbeda pada setiap individu yang terletak di dalam tubuh sehingga sulit untuk ditempa ataupun dipalsukan, higienis dan nyaman. Metode yang digunakan adalah experimental atau berbasis

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Pontoh, Fransisca Joanet, Henry V. F. Kainde, and Yuri Vanli Akay. "Teknik Pengenalan Pembuluh Darah Punggung Tangan Berbasis Fitur Local Binary Pattern." Jurnal Ilmu Komputer dan Bisnis 12, no. 2a (2021): 197–203. http://dx.doi.org/10.47927/jikb.v12i2a.221.

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Teknologi biometrik untuk mengidentifikasi dan mengenal karakteristik bagian tubuh manusia yang unik dan tetap sudah banyak dilakukan. Teknik ini menjadi bagian dari sistem keamanan di berbagai bidang seperti sidik jari, palm print, wajah, dan iris. Tetapi semua teknik ini masih memiliki keterbatasan. Vena punggung tangan merupakan salah satu bagian dari sistem biometrik populer yang memiliki karakteristik tekstur yang berbeda pada setiap individu yang terletak di dalam tubuh sehingga sulit untuk ditempa ataupun dipalsukan, higienis dan nyaman. Metode yang digunakan adalah experimental atau be

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ЧИМИДОВ, Д. Б., О. А. ЭЛЯЕВ, Э. Э. ЭРЕНЖЕНОВА, et al. "DEVELOPMENT OF INFORMATION TECHNOLOGIES: NEW TRENDS AND PROSPECTS IN BIOMETRIC IDENTIFICATION RESEARCH." Экономика и предпринимательство, no. 8(169) (August 30, 2024): 1273–76. http://dx.doi.org/10.34925/eip.2024.169.8.236.

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Биометрия - это система идентификации человека по его физическим характеристикам или поведенческим факторам. Такими характеристиками могут быть отпечатки пальцев, узор сетчатки глаза или голос. Впервые биометрические данные для подписания документов и договоров в 1859 году использовал Уильям Гершель, служащий одной из британских колониальных компаний. На его взгляд, все индийские рабочие выглядели одинаково, а запомнить их имена не было «никакой возможности». Чтобы различать рабочих хотя бы документально, Гершель решил использовать метод идентификации, основанный на отпечатках пальцев и ладоне

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Mahesha, Y., and C. Nagaraju. "AUTOMATING THE IDENTIFICATION AND EVALUATION OF THE POSITION OF AXIAL TRIRADIUS ON PALM PRINT: AN APPROACH TO EARLY DETECTION OF CONGENITAL HEART DISEASES." Biomedical Engineering: Applications, Basis and Communications 33, no. 02 (2021): 2150021. http://dx.doi.org/10.4015/s1016237221500216.

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In this paper, we propose a novel method to detect Congenital Heart Diseases (CHDs) using digital palm images. An Axial triradius is one of the features of palm whose position can be used to detect CHDs. In palm print image, axial triradius is identified using a pattern matching algorithm which is a well-known algorithm in image processing. Along with axial triradius, two more triradii are identified. One triradius is located near the little finger and another one located near the index finger. The location of all these three triradii is obtained. Two vectors are drawn from axial triradius, on

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Chen, Wen Shiung, and Wei Chang Wang. "Fusion of hand-shape and palm-print traits using morphology for bi-modal biometric authentication." International Journal of Biometrics 10, no. 4 (2018): 368. http://dx.doi.org/10.1504/ijbm.2018.095286.

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Chen, Wen Shiung, and Wei Chang Wang. "Fusion of hand-shape and palm-print traits using morphology for bi-modal biometric authentication." International Journal of Biometrics 10, no. 4 (2018): 368. http://dx.doi.org/10.1504/ijbm.2018.10015393.

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Arunachalamand, MuthuKumar, and Kavipriya Amuthan. "Finger Knuckle Print Recognition using MMDA with Fuzzy Vault." International Arab Journal of Information Technology 17, no. 4 (2020): 554–61. http://dx.doi.org/10.34028/iajit/17/4/14.

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Currently frequent biometric scientific research such as with biometric applications like face, iris, voice, hand-based biometrics traits like palm print and fingerprint technique are utilized for spotting out the persons. These specific biometrics habits have their own improvement and weakness so that no particular biometrics can adequately opt for all terms like the accuracy and cost of all applications. In recent times, in addition, to distinct with the hand-based biometrics technique, Finger Knuckle Print (FKP) has been appealed to boom the attention among biometric researchers. The image

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Rehman, Amjad, Majid Harouni, Negar Haghani Solati Karchegani, Tanzila Saba, Saeed Ali Bahaj, and Sudipta Roy. "Identity verification using palm print microscopic images based on median robust extended local binary pattern features and k‐nearest neighbor classifier." Microscopy Research and Technique 85, no. 4 (2021): 1224–37. http://dx.doi.org/10.1002/jemt.23989.

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Chen, Xiao-Hua, and Chun-Zhi Li. "Cross-band fusion by energy weight as solution to illumination and arch restrictions in palm-print recognition." International Journal of Imaging Systems and Technology 19, no. 4 (2009): 350–55. http://dx.doi.org/10.1002/ima.20212.

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Arjun, B. C., and N. Prakash H. "Multimodal Biometric Recognition: Fusion of Modified Adaptive Bilinear Interpolation Data Samples of Face and Signature using Local Binary Pattern Features." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 3111–20. https://doi.org/10.35940/ijeat.C6117.029320.

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Biometric based authentication systems use particular person characteristics which might be based on either behavior like voice, signature etc. or body structure like face, iris, palm print, fingerprint, etc. The performance of any unimodal biometric arrangement is depending on elements like surroundings, atmosphere, and sensor precision. Also, there are numerous trait unique demanding situations which include pose, expression, growing old and so forth for face reputation, occlusion and acquisition related problems for iris and terrible high-quality and social popularity related troubles for f

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Pavan, Kumar K., E. S. N. Krishna Prasad P., V. Ramakrishna M., and D. C. N. Prasad B. "Feature Extraction using Sparse SVD for Biometric Fusion in Multimodal Authentication." International Journal of Network Security & Its Applications (IJNSA) 5, no. 4 (2013): 83–94. https://doi.org/10.5281/zenodo.4496103.

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Token based security (ID Cards) have been used to restrict access to the Secured systems. The purpose of Biometrics is to identify / verify the correctness of an individual by using certain physiological or behavioural traits associated with the person. Current biometric systems make use of face, fingerprints, iris, hand geometry, retina, signature, palm print, voiceprint and so on to establish a person’s identity. Biometrics is one of the primary key concepts of real application domains such as aadhar card, passport, pan card, etc. In this paper, we consider face and fingerprint pattern

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Liu, Xiaoyang, and Jinqiang Liu. "Gait Recognition Method of Underground Coal Mine Personnel Based on Densely Connected Convolution Network and Stacked Convolutional Autoencoder." Entropy 22, no. 6 (2020): 695. http://dx.doi.org/10.3390/e22060695.

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Biological recognition methods often use biological characteristics such as the human face, iris, fingerprint, and palm print; however, such images often become blurred under the limitation of the complex environment of the underground, which leads to low identification rates of underground coal mine personnel. A gait recognition method via similarity learning named Two-Stream neural network (TS-Net) is proposed based on a densely connected convolution network (DenseNet) and stacked convolutional autoencoder (SCAE). The mainstream network based on DenseNet is mainly used to learn the similarit

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Mahesha, Y., and C. Nagaraju. "A LITERATURE REVIEW ON ANALYSIS OF PALM PATTERNS TO DETECT CONGENITAL HEART DISEASES." Biomedical Engineering: Applications, Basis and Communications 32, no. 02 (2020): 2050012. http://dx.doi.org/10.4015/s101623722050012x.

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This paper presents the survey on different techniques which can be used to detect congenital heart disease using palm patterns. The congenital heart disease is one of the heart diseases which starts from birth. Research works are carried out towards detecting congenital heart disease before symptom appears using palm patterns so that it avoids critical health problems in future. Researchers have collected palm prints from normal people who are not suffering from any kind of heart disease and from patients who are suffering from different types of congenital heart diseases. These palm prints a

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C, Omuruka T., Osunwoke Osunwoke, E. A, Edibamode Edibamode, and E. I. "Palmar Creases and Ancestry Prediction." Scholars International Journal of Anatomy and Physiology 5, no. 2 (2022): 41–49. http://dx.doi.org/10.36348/sijap.2022.v05i02.003.

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Background: The importance and usefulness of dermatoglyphics in crime investigation, anthropology and disease prediction have been stressed wide published. However, there is dearth of information on the use of palmar creases as an adjunct tool in the prediction of tribe/ethnicity and ancestral relationship among populations. Hence, this study was aimed at predicting ancestry and tribal/ethnic relationship and genetic link among the Urhobo, Isoko and Ogoni ethnic groups using palmar creases. Materials and Methods: In this cross-sectional, observational and analytical study, 360 subjects- 180, 1

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Anyanwu, Chuks Luke, Uwaifoh Akpamu, Moses Odion Eromosele, and Osakpolor Glad Odia. "Finger and palmar dermatoglyphics in diabetic subjects: a study in a Nigeria teaching hospital." International Journal of Scientific Reports 8, no. 8 (2022): 208. http://dx.doi.org/10.18203/issn.2454-2156.intjscirep20221835.

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<p><strong>Background</strong>: The aim of this study is to evaluate digito-palmer print among diabetic patients visiting Irrua specialist teaching hospital (ISTH), Irrua Edo State, Nigeria.</p><p><strong>Methods</strong>: Using standard procedures of the ink method, the finger prints of both hands were obtained and palm photographed were taken from clinically diagnosed diabetic patients. The data were analyzed using SPSS (version 21) and results presented in tables.</p><p><strong>Results</strong>: The mean age of the patients w

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N., Susitha, and Ravi Subban Dr. "A NOVEL IRIS BASED SECURITY POLICY USING LDP AND ENSEMBLE CLASSIFICATION." International Journal of Current Research and Modern Education 3, no. 1 (2018): 325–33. https://doi.org/10.5281/zenodo.1209912.

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Iris is one of important biometrics, which remains static and cannot be altered all-through the life of mankind. Iris is the most powerful biometric among all the other biological measures such as voice, fingerprint, palm print, signature and so on. Understanding the merit of iris, this paper presents an iris based security policy that grants access to the users by matching the iris of the individual with the trained iris sample. The main objective of this article is to attain maximum recognition accuracy. The objective is attained by segmenting the iris region and the extracted iris region is

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Goh, Michael K. O., Connie Tee, and Andrew B. J. Teoh. "BI-MODAL PALM PRINT AND KNUCKLE PRINT RECOGNITION SYSTEM." Journal of IT in Asia 3, no. 1 (2016): 85–106. http://dx.doi.org/10.33736/jita.37.2010.

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This paper proposed an innovative contact-less palm print and knuckle print recognition system. Palm print is referred to as line textures, which contains principal lines, wrinkles and ridges on the inner surface of the palm. On the other hand, knuckle print is denoted as the flexion lines on the inner skin of the knuckles of the fingers. These line patterns are unique and stable, and they offer abundance of useful information for personal recognition. We present a novel palm print and knuckle print tracking approach to automatically detect and capture these features from low resolution video

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Senthil Kumar, S., S. Usha Nandhini, and G. Sangeetha. "An Enhanced Biometric System for ATM Amount Withdrawals Using Iris Biometric Recognition Method." Asian Journal of Computer Science and Technology 4, no. 2 (2015): 35–38. http://dx.doi.org/10.51983/ajcst-2015.4.2.1752.

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A biometric system provides automatic recognition of an individual based on some sort of unique feature or characteristic possessed by the individual. Biometric systems have been developed based on fingerprints, facial features, voice, hand geometry, handwriting, the retina / iris. We are living in the age, in which the demand on security is increasing greatly. Consequently, biometric recognition, which is a safe, reliable and convenient technology for personal recognition, appears. This technology makes use of physiological or behavioral characteristics to identify individual. A biometric sys

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Kota, Haripal Reddy, Vippalapally Balaji, Merugu Naveen, K. Vijay Kumar, Eerla Prashanth Kumar, and Pallam Venkatapathi. "An Affordable Optical Sensor for Safe Touchless Palm Print Biometry Detection." International Journal for Research in Applied Science and Engineering Technology 12, no. 12 (2024): 669–74. https://doi.org/10.22214/ijraset.2024.65777.

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Abstract: Palm print recognition techniques have made extensive and successful use of palm print direction patterns. In order to obtain authentic line responses in the palm print image, the majority of current direction-based techniques uses pre-defined filters, which necessitate extensive prior knowledge and typically overlooks crucial direction information. Furthermore, some noise-influenced line replies will reduce the accuracy of recognition. Another challenge for enhancing recognition performance is figuring out how to extract the discriminative elements that will make the palm print easi

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AlShemmary, Ebtesam. "Siamese Network-Based Palm Print Recognition." Journal of Kufa for Mathematics and Computer 10, no. 1 (2023): 108–18. http://dx.doi.org/10.31642/jokmc/2018/100116.

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palm print recognition is a biometric technology used to identify individuals based on their unique comfort patterns. Identifying patterns in computer vision is a challenging and interesting problem. It is an effective and reliable method for authentication and access control. In recent years, deep learning approaches have been used for handprint recognition with very good results. We suggest in this paper, a Siamese network-based approach for handprint recognition. The proposed approach consists of two convolutional neural networks (CNNs) that share weights and are trained to extract features

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Anita R, Gune, Patki Satish, and Pote Anand J. "Comparative study of dermatoglyphic patterns in identical twins." National Journal of Clinical Anatomy 06, no. 02 (2017): 126–30. http://dx.doi.org/10.1055/s-0039-1700733.

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Abstract Background and aims: Dermatoglyphics has been studied extensively in chromosomal disorders and also in various diseases. Identical twins cannot be distinguished based on DNA. It is claimed that identical twins can be distinguished based on their finger prints, retina, and thermogram and iris patterns. It will be really interesting to know whether the identical twins have same dermatoglyphic patterns or not. Materials and Methods: 24 pairs of identical twins were examined for quantitative and qualitative similarities of finger print patterns; patterns on the palm, ‘atd’angle, ‘a-b’ridg

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Omuruka, T. C., and K. P. Godson. "Investigation of inheritance pattern of palmar creases among the Urhobo and Ogoni Ethnic Groups in South-South Nigeria." Journal of Experimental and Clinical Anatomy 22, no. 1 (2025): 27–38. https://doi.org/10.4314/jeca.v22i1.4.

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Background and aim: Qualitative and quantitative analysis of palmar creases have been implicated for diagnoses of congenital abnormalities as well as prediction of identity, ancestry, and ethnicity. Thus, suggesting the genetic basis of palmar creases. This study investigated the inheritance pattern of palmar creases among the Urhobo and Ogoni ethnic groups in South-South Nigeria. Methodology: In this family-based study 95 families- 60 Urhobo and 35 Ogoni families were recruited. Using dermatoglyphic capture technique, palm prints of the subjects were obtained. Proportion of Concordance was us

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Syamsurizal, Syam. "Sudut ATD sebagai Penanda Diabetes Mellitus Tipe-2 (DMT2)." Bioscience 2, no. 1 (2019): 34. http://dx.doi.org/10.24036/020182110128-0-00.

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Dermatoglyphic of patterns (finger prints) could be used as genetic markers with type 2 diabetes. Analysts dermatoglyphic patterns can quantitatively through several parameters: frequency fingerprint patterns (arch, loop and whorl), the number of vines, pattern type index consists of the Dankmeijer index, Furuhata index, pattern intensity index and atd angle. Atd angle is the angle formed by connecting point triradius a, t and d on the palm area. Objective studies link dermatoglyphic characteristics (atd angle) with type 2 diabetes mellitus in Minangkabau ethnic.The research method used descri

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Manara, A., MA Habib, MA Rahman, M. Ayub, N. Begum, and S. Hossain. "Digital And Palmar Dermatoglyphics In Myocardial Infarction." Journal of Armed Forces Medical College, Bangladesh 7, no. 2 (2012): 4–8. http://dx.doi.org/10.3329/jafmc.v7i2.10386.

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Introduction: Dermatoglyphics pattern is feature with which human takes birth. As a diagnostic aid, it is now well established in a number of diseases which have a strong hereditary basis. The aetiology of coronary heart diseases is believed to be multi-factorial with genetics playing an important role. Objective: The present study was designed to make an observation of the usefulness of dermatoglyphic pattern in serving as a predictor for myocardial infarction among Bangladeshi male who were non relative to each other. Place of study: The study was conducted in the Department of Anatomy, Bang

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Htet, Aung Si Min, and Hyo Jong Lee. "Contactless Palm Vein Recognition Based on Attention-Gated Residual U-Net and ECA-ResNet." Applied Sciences 13, no. 11 (2023): 6363. http://dx.doi.org/10.3390/app13116363.

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Palm vein recognition has received some considerable attention regarding its use in biometric identification. Palm vein characteristics offer a superior level of security and reliability in personal identification compared to extrinsic methods such as fingerprint, face, and palm print recognition, as vein patterns are difficult to duplicate and do not change throughout one’s lifetime. This study proposes both segmentation and recognition methods to enhance the authentication performance and achieve correct identification using palm vein features. First, we propose a segmentation model based on

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Singh, Arun, and Archana Singh. "Dermatoglyphic Patterns and Body Mass Indices among Medical Students in India: A Cross-sectional Study." Acta Medica International 11, no. 1 (2024): 60–66. http://dx.doi.org/10.4103/amit.amit_20_24.

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Introduction: Obesity is a disorder for which environment and genetic factors are responsible. Many genetical inherited disorders including obesity have been found to have an association with dermatoglyphics. The present study was done to know the dermatoglyphic patterns of fingerprints of obese and nonobese medical students. Materials and Methods: Fingers and palm prints of both the hands of 150 medical students of 18–24 years were collected with the help of ink pad on A4 size of paper. The fingers and palm prints were studied using handheld magnifying lens and their body mass index was calcu

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Adenowo, Kehinde T., Olugbenga O. Eweoya, Olugbemi T. Olaniyan, and Abayomi Ajayi. "Dermatoglyphic appraisal of multiple births women in Igbo-Ora and Ogbomosho, South west, Nigeria." Anatomy Journal of Africa 9, no. 1 (2020): 1744–51. http://dx.doi.org/10.4314/aja.v9i1.14.

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The scientific study of epidermal ridges on the palms and toes is termed dermatoglyphics. Multiple births occur when more than one fetus results from a single pregnancy. This study is aimed at determining the relationship if any between multiple births and palmar flexion creases. Two hundred Igbo-Ora and one hundred Ogbomosho healthy and consenting adult female indigenes aged between 25-50 years were recruited and grouped into 4; group I consisted of multiple births women in Igbo-Ora; group II consisted of single births women in Igbo-Ora; group III consisted of multiple births women in Ogbomos

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Chaudhari, Jitendra, Hiren Mewada, Amit Patel, Keyur Mahant, and Alpesh Vala. "COMPUTATIONLESS PALM-PRINT VERIFICATION USING WAVELET ORIENTED ZERO-CROSSING SIGNATURE." IIUM Engineering Journal 23, no. 1 (2022): 222–32. http://dx.doi.org/10.31436/iiumej.v23i1.2086.

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Palmprints can be characterized by their texture and the patterns of that texture dominate in a vertical direction. Therefore, the energy of the coefficients in the transform domain is more concentrated in the vertical sideband. Using this idea, this paper proposes the characterization of the texture features of the palmprint using zero-crossing signatures based on the dyadic discrete wavelet transform (DWT) to effectively identify an individual. A zero-crossing signature of 4 x 256 was generated from the lower four resolution levels of dyadic DWT in the enrolment process and stored in the dat

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Achalli, Sonika, U. S. Krishna Nayak, Murali P S, Keerthan Shashidhar, and Vinayak Kamath. "Comparative evaluation of dermatoglyphic patterns between skeletal class I and skeletal class III malocclusion." F1000Research 12 (January 10, 2023): 37. http://dx.doi.org/10.12688/f1000research.127895.1.

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Background: Dermatoglyphics is the study of various dermal configurations on the fingers, palms, and soles. These appear during the 12th week of intrauterine life and develop completely by the 24th week. It is said that they remain constant thereafter. The aim of the present study was to compare and assess the association of dermatoglyphic patterns between skeletal class I and skeletal class III malocclusion. Methods: Finger and palm prints were collected using the ink and roller method from 604 subjects who were divided into skeletal class I, class III with maxillary retrognathism and class I

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