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Journal articles on the topic 'Face Recognization'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Nidhi, Soni* Priya Mate. "FACE DETECTION AND RECOGNIZATION USING PCA ALGORITHM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 5 (2017): 717–21. https://doi.org/10.5281/zenodo.801247.

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Image databases and live video data is growing rapidly, their intelligent or automatic examining is becoming exceptionally more important. Human faces are one of very common and very particular objects that we need to try to detect in images. Face detection is very difficult task in image analysis which has each day many applications. We can illustrate the face detection problem as a computer vision task which involve in detecting one or several human faces in an image. Identification & Authentication has become major problems in present digital world. Face detection plays a significant ro

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2

Nidhi, Soni, and Mate2 Priya. "FACE DETECTION AND RECOGNIZATION USING PCA ALGORITHM." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 4, no. 6 (2017): 21–25. https://doi.org/10.5281/zenodo.802177.

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Image databases and live video data is growing rapidly, their intelligent or automatic examining is becoming exceptionally more important. Human faces are one of very common and very particular objects that we need to try to detect in images. Face detection is very difficult task in image analysis which has each day many applications. We can illustrate the face detection problem as a computer vision task which involve in detecting one or several human faces in an image. Identification & Authentication has become major problems in present digital world. Face detection plays a significant ro

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3

.SANDHIYA, V. "Criminal Identification by Face Recognization System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42295.

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The Criminal Identification by Face Recognition system is an advanced surveillance solution designed to enhance security by identifying individuals using facial recognition technology. This system automates the process of analyzing images and video feeds, comparing detected faces against a pre-trained database of known individuals. By integrating computer vision and deep learning, the system ensures accurate and real-time identification, significantly improving response times in critical security environments. Traditional surveillance methods rely heavily on manual monitoring, making them pron

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4

Mr., Amit Kumar, Minakshi Memoria Dr., and Vinod Kumar Dr. "Memory Optimized Deep Learning based Face Recognization." Indian Journal of Computer Science and Engineering 12, no. 1 (2021): 57–64. http://dx.doi.org/10.21817/indjcse/2021/v12i1/211201066.

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5

V, Anushka, Akasha DL, and Prof Chandrani Chakravorty. "FACE RECOGNIZATION ATTENDANCE SYSTEMUSING MACHINE LEARNING TECHNIQUES." International Journal of Engineering Applied Sciences and Technology 6, no. 9 (2022): 125–29. http://dx.doi.org/10.33564/ijeast.2022.v06i09.016.

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Nowadays education institutions are concerned with the regularity of student attendance who is present or absent. This is mainly concerned with the student’s academic performance which is affected by his or her attendance in the Institution. The methods of calling the attendance which by calling the student roll no, or by calling the name or by making the sign of the student in the paper. These may take more time and also be difficult for faculty. So, there is a necessity computerbased attendance system in which it maintains the student attendance record. Attendance is easy by rerecognization

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6

Koganti, Sonika, and Talluri Sunil Kumar. "Video Face Recognization Using Autoencoder and Softmax Classifications." International Journal of Computer Sciences and Engineering 7, no. 6 (2019): 491–96. http://dx.doi.org/10.26438/ijcse/v7i6.491496.

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7

K., Pradeep* K. Ramudu. "EFFECT OF HCL CONCENTRATION ON NORMAL CONCRETE AND ADMIXTURED CONCRETE MADE WITH AND WITHOUT MANUFACTURED SAND." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 5 (2017): 658–67. https://doi.org/10.5281/zenodo.800622.

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Concrete is considered to be the most widely used and versatile material of construction all over the world. One of the important ingredients of conventional concrete is natural sand or river sand, which is on the verge of exhausting due to abundant usage. In India, the conventional concrete is produced by using natural sand obtained from riverbeds as fine aggregate. However, due to the increased use of concrete in almost all types of construction works, the demand of natural or river sand has been increased. To meet this demand of construction industry excessive quarrying of sand from river b

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8

Liu, Zhi, Xin He, Lili Wang, Yunhua Zhang, Yue Hai, and Rui Gao. "Chinese Herbal Medicine Hepatotoxicity: The Evaluation and Recognization Based on Large-scale Evidence Database." Current Drug Metabolism 20, no. 2 (2019): 138–46. http://dx.doi.org/10.2174/1389200219666180813144114.

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Background:Due to the special nature of Chinese Herbal medicine and the complexity of its clinical use, it is difficult to identify and evaluate its toxicity and resulting herb induced liver injury (HILI).Methods:First, the database would provide full profile of HILI from the basic ingredients to clinical outcomes by the most advanced algorithms of artificial intelligence, and it is also possible that we can predict possibilities of HILI after patients taking Chinese herbs by individual patient evaluation and prediction. Second, the database would solve the chaos and lack of the relevant data

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9

SAMBHE, AKHIL AWDHUTRAO, and PROF ANIL V. DEORANKAR. "Face Detection and Recognization System." SSRN Electronic Journal, 2022. http://dx.doi.org/10.2139/ssrn.4165851.

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10

SAMBHE, AKHIL AWDHUTRAO. "Face Detection and Recognization System." SSRN Electronic Journal, 2022. http://dx.doi.org/10.2139/ssrn.4123252.

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11

Yawalikar, Apurva, and U. W. Hore. "Security Implementation by Machine Learning Based Face Recognization with SVM." International Journal of Advanced Research in Science, Communication and Technology, April 15, 2021, 214–18. http://dx.doi.org/10.48175/ijarsct-975.

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Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene. Face detection can be regarded as a specific case of object-class detection. In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given. As per the various face detection system seen various work done onto the detection with various way. In existing this are get evaluate with the HOG with SVM

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12

Yawalikar, Apurva, and Prof U. W. Hore. "Security Implementation by Machine Learning Based Face Recognization with SVM." International Journal of Advanced Research in Science, Communication and Technology, July 9, 2021, 409–16. http://dx.doi.org/10.48175/ijarsct-1633.

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Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene. Face detection can be regarded as a specific case of object-class detection. In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given. As per the various face detection system seen various work done onto the detection with various way. In existing this are get evaluate with the HOG with SVM

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13

Upadhyay, Anuj, and Pulkit Singh. "Real time face recognization attendance management system." International journal of health sciences, May 4, 2022. http://dx.doi.org/10.53730/ijhs.v6ns3.6920.

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Real Time face recognition system which is worked on the scenario of recognition of face detection and further also we used as it for attendance marking purpose. Marking attendance in the classroom or in any institution level during ongoing period of time is not only headache activity but also a time consuming. Due to an unpredictable or an unusually high number of students which are present during the ongoing lecture so there will be high chance of probability of proxy’s attendance if the guide did not connect the class so there are highly chances. Attendance marking system with conventional

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14

"Automatic Attendance Recording System Using Face Recognization." International Research Journal of Modernization in Engineering Technology and Science, April 6, 2024. http://dx.doi.org/10.56726/irjmets51895.

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15

Thilagavathi, B., and K. Suthendran. "Boosting Based Implementation of Biometric Authentication in IoT." Journal of Cyber Security and Mobility, January 22, 2018. http://dx.doi.org/10.13052/2245-1439.7110.

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In security and control application the biometric authentication played a specific and important role to identify the person. Analysis of face recognization is the prerequisite process for the entire authentication. This paper focuses an automatic real-time implementation of face recognization system by highlevel description language such as python. Comparing the biometrics where still images are used, video based biometric holds ample information than a single image. It provides the innovative solution for automatic real time face recognition from the video by the following algorithms like Ad

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16

"Face Recognition using Cascade Algorithm." International Journal of Recent Technology and Engineering 8, no. 2S4 (2019): 599–602. http://dx.doi.org/10.35940/ijrte.b1118.0782s419.

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As one of the most successful application of Image processing, face recognition has received attention for quite a long time. Whether being used in CCTV cameras or home security, face recognition is an important application in today’s metropolitan era. The face recognization strategy is implemented by using Haar cascade algorithm. Both are used differently and the results are then compared to know which one works better or is more accurate. In this paper, we have used Python programing language, since this is only a basic Face recognition system there is no database used but for future extensi

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17

Brahmananda Reddy D and P R Kuber Gupta. "AN OPENCV BASED EFFICIENT FACE RECOGNIZATION APPROACH FOR AUTOMATED ATTENDANCE UPDATION." EPRA International Journal of Research & Development (IJRD), April 27, 2020, 302–5. http://dx.doi.org/10.36713/epra4323.

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Traditional way of taking attendance can lead to various anomalies such as proxy, misallocation of attendance register. The proposed method overcomes the defects that exists in the traditional method. The latest digital register tracks the student’s presence by identifying and recognizing their details by using Machine learning algorithms. KEYWORDS- digital register, identification, recognizing, attendance, machine learning

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18

"MEDIA PLAYER CONTROLLER USING HAND GESTURE & SPEECH RECOGNIZATION." International Journal for Research in Engineering Application & Management, April 30, 2024, 10–15. https://doi.org/10.35291/2454-9150.2024.0152.

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The thing for the undertaking was to develop a brand new kind of mortal pc interplay machine that subdues the problems that druggies had been dealing with with the slice- edge device. The challenge is carried out on a Linux device still will be applied on a windows contrivance by way of downloading some modules for python. The algorithm applied is vulnerable to change in history snap because it isn't primarily grounded on background print deduction and is not always programmed for a named hand kind; the algorithm used can procedure exclusive hand types, acknowledges no of hands, and might carr

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