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Research Article
A Deep Learning Model on Face Matching
Richa Singh1
Shambhavi Srivastava2
Mayank Tripathi3
Pawan Mishra4
Sakil Ahmad Ansari5
1234 Student, Department of Computer Science and Engineering, ITM Gida Gorakhpur, India. 5Assistant Professor, Department of Computer Science and Engineering, ITM Gida Gorakhpur, India.
Published Online: November-December 2022
Pages: 143-145
Cite this article
No DOIReferences
[1-] Francis Galton, “Personal identification and description,” In Nature pp. 173-177, June 21, 1888.
[2-] W. Zhao, “Robust image based 3D face recognition,” Ph.D. Thesis Maryland university 1999.
[3-] L. Zheng, “A new model-based lighting normalization algorithm admits application in face recognition,”
Master’s thesis, National University of Singapore, 2000.
[4-] L. Wiskott, J.-M. Fellow’s, N. Kruger, and C. von der Malzberg, “Face recognition by elastic bunch graph
matching,” IEEE, Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 775 –779, 1997.
[5-] K. Chang, K.W. Bowyer and S. Sarkar, “Comparison and combination of ear and face images in appearance-
based biometrics,” IEEE trans on Pattern analysis and machine intelligence, vol. 25, no. 9, September 2003.
[2-] W. Zhao, “Robust image based 3D face recognition,” Ph.D. Thesis Maryland university 1999.
[3-] L. Zheng, “A new model-based lighting normalization algorithm admits application in face recognition,”
Master’s thesis, National University of Singapore, 2000.
[4-] L. Wiskott, J.-M. Fellow’s, N. Kruger, and C. von der Malzberg, “Face recognition by elastic bunch graph
matching,” IEEE, Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 775 –779, 1997.
[5-] K. Chang, K.W. Bowyer and S. Sarkar, “Comparison and combination of ear and face images in appearance-
based biometrics,” IEEE trans on Pattern analysis and machine intelligence, vol. 25, no. 9, September 2003.
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