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We present a neural method of recognizing faces using features obtained from compression of these faces with different methods. The extracted fea ti tres are used as inputs to a feedforward neural network. The neural network is trained with backpropagation and ALOPEX. Different types of featicre extraction are used and the results of training and testing for recognition based on the above mentioned methods are compared. ALOPEX converges much faster than backpropagation to a global maximum. Testing in both methods is as good as the learning of the network.<\/jats:p>","DOI":"10.1177\/003754979506500105","type":"journal-article","created":{"date-parts":[[2007,3,18]],"date-time":"2007-03-18T03:46:49Z","timestamp":1174189609000},"page":"37-51","source":"Crossref","is-referenced-by-count":13,"title":["Comparison of Neural Network Algorithms for Face Recognition"],"prefix":"10.1177","volume":"65","author":[{"given":"E.","family":"Micheli-Tzanakou","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering Rutgers University PO Box 909 Piscataway, NJ 08855-0909"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"E.","family":"Uyeda","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering Rutgers University PO Box 909 Piscataway, NJ 08855-0909"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Ray","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering Rutgers University PO Box 909 Piscataway, NJ 08855-0909"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Sharma","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering Rutgers University PO Box 909 Piscataway, NJ 08855-0909"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Ramanujan","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering Rutgers University PO Box 909 Piscataway, NJ 08855-0909"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J.","family":"Dong","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering Rutgers University PO Box 909 Piscataway, NJ 08855-0909"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[1995,7,1]]},"reference":[{"key":"atypb1","author":"Micheli-Tzanakou, E.","year":"1995","journal-title":"INNS, World Congress on Neural Networks"},{"key":"atypb2","unstructured":"Carey, S. \"A case study: Face recognition,\" in Explorations in The Biological Language, E. 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Sejnowski, \"SEXNET: A neural network identifies sex from human faces,\" in Advances in Neural Information Processing Systems 3, D.S. Touretzky and R. Lippmann , Eds. San Mateo, CA: Morgan Kaufmann, 1991, pp. 572-577."},{"key":"atypb17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-00784-6"},{"key":"atypb18","volume-title":"Fundamentals of Digital Image Processing","author":"Jain, A.K.","year":"1989"},{"key":"atypb19","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1972.8780"},{"key":"atypb20","doi-asserted-by":"publisher","DOI":"10.1109\/34.41390"},{"key":"atypb21","volume-title":"Recognizing Faces","author":"Bruce, V.","year":"1988"},{"key":"atypb22","first-page":"586","author":"Turk, M.A.","year":"1991","journal-title":"Proc. Int. Conf. on Patt. 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