Relevant bibliographies by topics / Canny and Gabor filter

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
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Academic literature on the topic 'Canny and Gabor filter'

Author: Grafiati
Published: 3 June 2025
Last updated: 20 July 2025

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Journal articles on the topic "Canny and Gabor filter"

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Dhanashri, Lamane, and Naik Ameya. "MULTI-MODAL BIO-METRIC AUTHENTICATION USING GABOR AND CANNY FILTERING METHOD." JournalNX - a Multidisciplinary Peer Reviewed Journal RIT PG Con-18 (April 22, 2018): 237–42. https://doi.org/10.5281/zenodo.1413759.

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 Every human has unique biological features, which can be used for the person authentication. More than one biological feature can be used for authentication to achieve a higher degree of security. The proposed system uses fingerprint and iris biometric features for authentication purpose with Gabor and Canny filtering method. Gabor filters are linear filters applied in multiple directions to compensate for orientation effect. The proposed system uses Gabor filter with eight direction rotation. The canny filter is the multilevel algorithm that detects a wide range of edges with a low erro
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Y. K., Anupama, Amutha S., and Ramesh Babu D. R. "An Efficient Preprocessing Technique for Multimodality Breast Cancer Images." International Journal of Online and Biomedical Engineering (iJOE) 19, no. 08 (2023): 88–96. http://dx.doi.org/10.3991/ijoe.v19i08.40043.

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On average, one in every eight women is diagnosed with breast cancer during their lifetime, and accounts for 14% of cancers in women. Since early diagnosis could improve treatment outcomes and longer survival times for patients, it is absolutely necessary to develop techniques to classify lesions within breast cancer mammograms and ultrasound images. The main goal is to determine the class of tumor present within the image, which is pivotal in diagnosing breast cancer patients. In this paper, we propose an Sobel-Canny-Gabor(SCG) model, which is a hybrid model that implements three different ed
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Kamanga, Isaack Adidas. "Improved Edge Detection using Variable Thresholding Technique and Convolution of Gabor with Gaussian Filters." Signal & Image Processing : An International Journal 13, no. 5 (2022): 1–15. http://dx.doi.org/10.5121/sipij.2022.13501.

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Medical Field, Robotic vision, Pattern recognition, Hurdle detection, and smart city are examples of areas that require image processing to achieve automation. Detecting an edge is an important stage in any computer vision application. The performance of the edge detecting algorithm is largely affected by the noise present in an image. An Image with a low signal-to-noise ratio (SNR), imposes a challenge to locate its edges. To improve the observable image boundaries, an adaptive filtering technique is proposed in this article. The proposed algorithm uses convolution of Gabor filter with Gaussi
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Shafiqua, Noorain, and L. Muddannavar Mala. "Secured Biometric Authentication of Iris Image using Visual Cryptography." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 6 (2020): 281–84. https://doi.org/10.35940/ijeat.F1393.089620.

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In the modern era of information technology security violation and attacks are increasing day by day . So, in order to manage this issues the number of ways of providing security to the systems are introduced .In which the most promising one is to improve the security by identifying or verifying the person using some technique. So, the basic idea is to use the identity of a person which can improve the security. Thus, the proposed work focuses on the security architecture for protecting integrity of iris images using watermarking and visual cryptography (VC). First, for protecting the iris ima
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Chen, Xinqiang, Huixing Chen, Huafeng Wu, et al. "Robust Visual Ship Tracking with an Ensemble Framework via Multi-View Learning and Wavelet Filter." Sensors 20, no. 3 (2020): 932. http://dx.doi.org/10.3390/s20030932.

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Maritime surveillance videos provide crucial on-spot kinematic traffic information (traffic volume, ship speeds, headings, etc.) for varied traffic participants (maritime regulation departments, ship crew, ship owners, etc.) which greatly benefits automated maritime situational awareness and maritime safety improvement. Conventional models heavily rely on visual ship features for the purpose of tracking ships from maritime image sequences which may contain arbitrary tracking oscillations. To address this issue, we propose an ensemble ship tracking framework with a multi-view learning algorithm
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Biswas, Rubel, Jia Uddin, and Md Junayed Hasan. "A New Approach of Iris Detection and Recognition." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2530. http://dx.doi.org/10.11591/ijece.v7i5.pp2530-2536.

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This paper proposes an IRIS recognition and detection model for measuring the e-security. This proposed model consists of the following blocks: segmentation and normalization, feature encoding and feature extraction, and classification. In first phase, histogram equalization and canny edge detection is used for object detection. And then, Hough Transformation is utilized for detecting the center of the pupil of an IRIS. In second phase, Daugmen’s Rubber Sheet model and Log Gabor filter is used for normalization and encoding and as a feature extraction method GNS (Global Neighborhood Structure)
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Rubel, Biswas, Uddin Jia, and Junayed Hasan Md. "A New Approach of Iris Detection and Recognition." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2530–36. https://doi.org/10.11591/ijece.v7i5.pp2530-2536.

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This paper proposes an IRIS recognition and detection model for measuring the e-security. This proposed model consists of the following blocks: segmentation and normalization, feature encoding and feature extraction, and classification. In first phase, histogram equalization and canny edge detection is used for object detection. And then, Hough Transformation is utilized for detecting the center of the pupil of an IRIS. In second phase, Daugmen’s Rubber Sheet model and Log Gabor filter is used for normalization and encoding and as a feature extraction method GNS (Global Neighborhood Stru
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Chen, Xinqiang, Shengzheng Wang, Chaojian Shi, Huafeng Wu, Jiansen Zhao, and Junjie Fu. "Robust Ship Tracking via Multi-view Learning and Sparse Representation." Journal of Navigation 72, no. 1 (2018): 176–92. http://dx.doi.org/10.1017/s0373463318000504.

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Conventional visual ship tracking methods employ single and shallow features for the ship tracking task, which may fail when a ship presents a different appearance and shape in maritime surveillance videos. To overcome this difficulty, we propose to employ a multi-view learning algorithm to extract a highly coupled and robust ship descriptor from multiple distinct ship feature sets. First, we explore multiple distinct ship feature sets consisting of a Laplacian-of-Gaussian (LoG) descriptor, a Local Binary Patterns (LBP) descriptor, a Gabor filter, a Histogram of Oriented Gradients (HOG) descri
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Cherrat, El mehdi, Rachid Alaoui, and Hassane Bouzahir. "A multimodal biometric identification system based on cascade advanced of fingerprint, fingervein and face images." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 3 (2020): 1562. http://dx.doi.org/10.11591/ijeecs.v17.i3.pp1562-1570.

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<p>In this paper, we present a multimodal biometric recognition system that combines fingerprint, fingervein and face images based on cascade advanced and decision level fusion. First, in fingerprint recognition system, the images are enhanced using gabor filter, binarized and passed to thinning method. Then, the minutiae points are extracted to identify that an individual is genuine or impostor. In fingervein recognition system, image processing is required using Linear Regression Line, Canny and local histogram equalization technique to improve better the quality of images. Next, the f
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El, mehdi Cherrat, Alaoui Rachid, and Bouzahir Hassane. "A multimodal biometric identification system based on cascade advanced of fingerprint, fingervein and face images." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 17, no. 3 (2020): 1562–70. https://doi.org/10.11591/ijeecs.v18.i1.pp1562-1570.

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In this paper, we present a multimodal biometric recognition system that combines fingerprint, fingervein and face images based on cascade advanced and decision level fusion. First, in fingerprint recognition system, the images are enhanced using gabor filter, binarized and passed to thinning method. Then, the minutiae points are extracted to identify that an individual is genuine or impostor. In fingervein recognition system, image processing is required using Linear Regression Line, Canny and local histogram equalization technique to improve better the quality of images. Next, the features a
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Dissertations / Theses on the topic "Canny and Gabor filter"

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önder, gül, and aydın kayacık. "Multiview Face Detection Using Gabor Filter and Support Vector Machines." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-2152.

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<p>Face detection is a preprocessing step for face recognition algorithms. It is the localization of face/faces in an image or image sequence. Once the face(s) are localized, other computer vision algorithms such as face recognition, image compression, camera auto focusing etc are </p><p>applied. Because of the multiple usage areas, there are many research efforts in face processing. Face detection is a challenging computer vision problem because of lighting conditions, a high degree of variability in size, shape, background, color, etc. To build fully
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Kiernan, Mary. "Implementation and design of the discrete Gabor filter for sonar texture classification." Thesis, Heriot-Watt University, 1995. http://hdl.handle.net/10399/766.

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Konuk, Baris. "Palmprint Recognition Based On 2-d Gabor Filters." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608138/index.pdf.

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In this thesis work, a detailed analysis of biometric technologies has been done and a new palmprint recognition algorithm has been implemented. The proposed algorithm is based on 2-D Gabor filters. The developed algorithm is first tested on The Hong Kong Polytechnic University Palmprint Database in terms of accuracy, speed and template size. Then a scanner is integrated into the developed algorithm in order to acquire palm images<br>in this way an online palmprint recognition system has been developed. Then a small palmprint database is formed via this system in Middle East Technical Universi
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Davis, Craig Alton Denney Thomas Stewart. "Applications of multi-channel filter banks to textured image segmentation." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Summer/Theses/DAVIS_CRAIG_12.pdf.

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Ravikumar, Rahul. "Multi-scale texture analysis of remote sensing images using gabor filter banks and wavelet transforms." Thesis, [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3175.

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Mar, Nang Seng Siri. "Vision-based classification of solder joint defects." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/37273/1/Nang_Mar_Thesis.pdf.

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Inspection of solder joints has been a critical process in the electronic manufacturing industry to reduce manufacturing cost, improve yield, and ensure product quality and reliability. The solder joint inspection problem is more challenging than many other visual inspections because of the variability in the appearance of solder joints. Although many research works and various techniques have been developed to classify defect in solder joints, these methods have complex systems of illumination for image acquisition and complicated classification algorithms. An important stage of the analysis
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Hong, Paul S. "Octave-band Directional Decompositions." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7210.

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A new two-dimensional transform is derived and implemented that is able to discriminate with respect to angular and radial frequency. This octave-band directional filter bank (OBDFB) is maximally decimated, has a separable polyphase implmentation, provides perfect reconstruction, and can be implemented in a tree structure allowing for a somewhat arbitrary number of angular and radial divisions. This decomposition is based on the directional filter bank (DFB) and is compared to other transforms with similar properties. Additionally, the OBDFB is used in three applications. Texture segmentat
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Shrestha, Ujjwal. "Automatic Liver and Tumor Segmentation from CT Scan Images using Gabor Feature and Machine Learning Algorithms." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1522411364001198.

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Hammarqvist, Ulf. "Audio editing in the time-frequency domain using the Gabor Wavelet Transform." Thesis, Uppsala universitet, Centrum för bildanalys, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-153634.

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Visualization, processing and editing of audio, directly on a time-frequency surface, is the scope of this thesis. More precisely the scalogram produced by a Gabor Wavelet transform is used, which is a powerful alternative to traditional techinques where the wave form is the main visual aid and editting is performed by parametric filters. Reconstruction properties, scalogram design and enhancements as well audio manipulation algorithms are investigated for this audio representation.The scalogram is designed to allow a flexible choice of time-frequency ratio, while maintaining high quality reco
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Spinei, Adrian. "Estimation du mouvement par triades de filtres de Gabor : application au mouvement de transparence." Grenoble INPG, 1998. http://www.theses.fr/1998INPG0120.

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La qualite et la rapidite de l'estimation du mouvement dans les sequences d'images sont fondamentales dans de nombreuses applications, telles que la robotique mobile et la reconstruction de scenes 3d. Parmi les techniques existantes, nous nous sommes interesses aux methodes energetiques qui sont reputees fournir des resultats de qualite, mais necessitent des temps de calculs prohibitifs. Nous presentons une methode rapide d'estimation du mouvement inspiree par le systeme de vision bas-niveau des primates, qui combine les reponses energetiques d'un banc de filtres spatio-temporels de gabor orga
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Book chapters on the topic "Canny and Gabor filter"

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Bölcskei, Helmut, and Franz Hlawatsch. "Oversampled modulated filter banks." In Gabor Analysis and Algorithms. Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-2016-9_10.

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Ghandehari, Azadeh, and Reza Safabakhsh. "Palmprint Verification Using Circular Gabor Filter." In Advances in Biometrics. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01793-3_69.

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Zhu, En, Jianping Yin, and Guomin Zhang. "Fingerprint Enhancement Using Circular Gabor Filter." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30126-4_91.

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Nazarkevych, Mariya, Mykola Logoyda, Oksana Troyan, Yaroslav Vozniy, and Zoreslava Shpak. "The Ateb-Gabor Filter for Fingerprinting." In Advances in Intelligent Systems and Computing IV. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33695-0_18.

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Samantaray, Aswini Kumar, and Amol D. Rahulkar. "Fundamentals of Gabor Wavelet Filter Banks." In Feature Extraction in Medical Image Retrieval. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57279-1_3.

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Nikam, Shankar Bhausaheb, and Suneeta Agarwal. "Gabor Filter-Based Fingerprint Anti-spoofing." In Advanced Concepts for Intelligent Vision Systems. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88458-3_100.

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Zhang, Hong, Zhi Liu, Qijun Zhao, Congcong Zhang, and Dandan Fan. "Finger Vein Recognition Based on Gabor Filter." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-42057-3_104.

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Liu, Shuai, Yuanning Liu, Xiaodong Zhu, Guang Huo, Jingwei Cui, and Yihao Chen. "Iris Recognition Based on Adaptive Gabor Filter." In Biometric Recognition. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69923-3_41.

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Samantaray, Aswini Kumar, and Amol D. Rahulkar. "Design of Adaptive Gabor Wavelet Filter Banks." In Feature Extraction in Medical Image Retrieval. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57279-1_7.

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Samantaray, Aswini Kumar, and Amol D. Rahulkar. "Design of Dyadic Gabor Wavelet Filter Banks." In Feature Extraction in Medical Image Retrieval. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57279-1_6.

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Conference papers on the topic "Canny and Gabor filter"

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Li, Xiangyang, Chirong Wu, Xiaona Li, and Junhong Zhao. "Binocular Pupil Detection Based on Adaptive Gabor Filter." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10864612.

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Rubiagatra, Doni, Adhi Dharma Wibawa, Marianus Yakobus Lili Lejap, Bima Gerry Pratama, and Rizky Oktavian. "Gabor Filter and Canny Edge Detection for Ear Biometrics Identification." In 2023 International Seminar on Intelligent Technology and Its Applications (ISITIA). IEEE, 2023. http://dx.doi.org/10.1109/isitia59021.2023.10220442.

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Vignesh, T., and K. K. Thyagharajan. "Water bodies identification from multispectral images using Gabor filter, FCM and canny edge detection methods." In 2017 International Conference on Information Communication and Embedded Systems (ICICES). IEEE, 2017. http://dx.doi.org/10.1109/icices.2017.8070767.

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Huang, Ying, Weixing Wang, and Weisheng Li. "Anisotropic Filter Based Modified Canny Algorithm." In Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007). IEEE, 2007. http://dx.doi.org/10.1109/fskd.2007.175.

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Onizawa, Naoya, Daisaku Katagiri, Kazumichi Matsumiya, Warren J. Gross, and Takahiro Hanyu. "Frequency-flexible stochastic Gabor filter." In 2015 IEEE International Conference on Digital Signal Processing (DSP). IEEE, 2015. http://dx.doi.org/10.1109/icdsp.2015.7251914.

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Bae, Ji-Sang, Oh-Young Lee, and Jong-Ok Kim. "Image interpolation using Gabor filter." In 2013 20th IEEE International Conference on Image Processing (ICIP). IEEE, 2013. http://dx.doi.org/10.1109/icip.2013.6738204.

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Garg, Bindu, Arjun Chaudhary, Kunal Mendiratta, and Vijay Kumar. "Fingerprint recognition using Gabor Filter." In 2014 International Conference on Computing for Sustainable Global Development (INDIACom). IEEE, 2014. http://dx.doi.org/10.1109/indiacom.2014.6828105.

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Kuppusamy, P., Mehfooza Munavar Basha, and Che-Lun Hung. "Retinal Blood Vessel Segmentation using Random Forest with Gabor and Canny Edge Features." In 2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN). IEEE, 2022. http://dx.doi.org/10.1109/icstsn53084.2022.9761339.

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Pawar, Krishnat B., and Sanjay L. Nalbalwar. "Distributed canny edge detection algorithm using morphological filter." In 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). IEEE, 2016. http://dx.doi.org/10.1109/rteict.2016.7808087.

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Nemati, Rehan Jamshaid, and Muhammad Younus Javed. "Fingerprint verification using filter-bank of Gabor and Log Gabor filters." In 2008 International Conference on Systems, Signals and Image Processing (IWSSIP). IEEE, 2008. http://dx.doi.org/10.1109/iwssip.2008.4604442.

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Reports on the topic "Canny and Gabor filter"

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Li, Hua. Locally Connected Adaptive Gabor Filter for Real-Time Motion Compensation. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada285726.

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Li, Hua H. Locally Connected Adaptive Gabor Filter for Real-Time Motion Compensation. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada300347.

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Li, Hua. Locally Connected Adaptive Gabor Filter for Real-Time Motion Compensation. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada275175.

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