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Neural Network For Face Recognition Using Different Classifiers
Kasukurthi Aswani,  M. Koteswara Rao M.Tech (Ph.D)
In this paper I proposed a novel technique for Face Detection and Recognition by Neural Network for Face Recognition using different Classifier. It is advance computer vision of human Face recognition being regarded as a fundamental technology of biometrics has been applied to a variety of areas like college student attendance monitoring, hospitals, Military, and then Banks and along with ATM’s also it is very help full to recognise any human face in any lighting and pose rotation conditions. In this paper processing of human faces and extracting facial features then classifying purpose using method are Gabor Wavelet Transform, Back propagation algorithm and corresponding classifying purpose I concentrate PCA algorithm. The main objective of this proposed system is to develop an efficient face recognition system by improving the efficiency of the existing face recognition systems. The proposed system has been developed to provide efficiency in terms of retrieval accuracy and precision. The precision improved by 100 % and average recall rate of up to 97 % for the database of 100 images. The efficiency of the proposed system obtained as 100%.
Keywords- Face recognition, Neural Network, PCA, Gabor Wavelet Transform, BPN, Eigenface, Feature Extraction
Unique Identification Number - IJEDR1802109Page Number(s) - 599-607Pubished in - Volume 6 | Issue 2 | June 2018DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Kasukurthi Aswani,  M. Koteswara Rao M.Tech (Ph.D),   "Neural Network For Face Recognition Using Different Classifiers"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 2, pp.599-607, June 2018, Available at :http://www.ijedr.org/papers/IJEDR1802109.pdf