Relevant bibliographies by topics / Face Recognization

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Face Recognization'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Face Recognization"

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

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Dissertations / Theses on the topic "Face Recognization"

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Shekapure, S. S., and N. V. Kadam. "Discriminant face features extraction, analysis & its application in multipose face recognization: a survey." Thesis, 2017. http://essuir.sumdu.edu.ua/handle/123456789/55763.

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As one of the excellent learning and classification performance, SVM and ISVM has become a research topic in the field of machine learning and has been applied in many areas, such as face detection and recognition, handwriting automatic identification and automatic text categorization. Face recognition is a challenging computer vision problem. Given a face database, goal of face recognition is to compare the input image class with all the classes and then declare a decision that identifies to whom the input image class belongs to or if it doesn’t belong to the database at all. In thi
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Lun, Chang Jui, and 章瑞倫. "Construction and Recognization of 3D Faces." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/43806478094189278518.

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碩士<br>國防大學理工學院<br>電子工程碩士班<br>99<br>In this thesis, we try to take the advantages of 3D inherent nature in face recognition. The 3D face recognition is not restricted in its view angles because the inherent nature of stereo image. We use two images taken from different angles to construct a 3D face model. With this model we can further process to make facial features recognition. The 3D models are constructed and encoded by the structure light in our research with our own built 3D camera system. In recognizing, we try to full utilize the curvatures of nose and mouth because they are invariant i
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Conference papers on the topic "Face Recognization"

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Behal, Anil. "Face Recognization System is Developed using Supervised Machine Learning." In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2024. http://dx.doi.org/10.1109/icaccs60874.2024.10717179.

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Sambhe, Akhil Awdhutrao, and A. V. Deorankar. "Face Detection And Recognization System." In 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). IEEE, 2022. http://dx.doi.org/10.1109/icac3n56670.2022.10074142.

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Rao, Mengyu, Ruyi Bao, and Liangshun Dong. "Face Emotion Recognization Using Dataset Augmentation Based on Neural Network." In ICGSP 2022: 2022 The 6th International Conference on Graphics and Signal Processing. ACM, 2022. http://dx.doi.org/10.1145/3561518.3561519.

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D, Anitta, Jaikiran Reddy G, Karthik Patil, Madhu D, and Manoj M. "Real-Time Face Recognization and Head Pose Estimation Using Artificial Intelligence." In 2023 7th International Conference on Design Innovation for 3 Cs Compute Communicate Control (ICDI3C). IEEE, 2023. http://dx.doi.org/10.1109/icdi3c61568.2023.00027.

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HUANG, HANMIN, ZHENGJUN YI, and XIYUE HUANG. "PRE-PROCESS OF RECOGNIZATION OF IMAGES OF DRIVERS' FACES IN ALARM SYSTEM." In Proceedings of the International Computer Congress 2004. World Scientific Publishing Company, 2004. http://dx.doi.org/10.1142/9789812702654_0118.

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