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DCT Based Fast Face Recognition Using PCA and ANN
SUMANPREETKAUR, RAJINDER SINGHVIRK Student, Computer Science and Engineering, Guru Nanak Dev University Amritsar, Punjab, India Associate Professor, Computer Science and Engineering, Guru Nanak Dev University Amritsar, Punjab, India
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Abstract: This paper proposed a noble face recognition algorithm which integrates the principal component analysis; back propagation neural network (BPNN) and discrete cosine transform (DCT) to improve the performance of face recognition algorithms.PCA is used to reduce the dimensionality of face image and the recognition is done by the BPNN for efficient and robust face recognition. DCT is an accurate and robust face recognition system used in compression due to its compact representation power. Various faces images are considered in this research work to evaluate the performance of the proposed algorithm. The proposed algorithm is efficient and fast because DCT reduce the amount of time required to recognize a face.
Keywords: Face recognition, Eigen faces, principal component analysis, back propagation neural network, discrete cosine transform
Keywords: Face recognition, Eigen faces, principal component analysis, back propagation neural network, discrete cosine transform
How to Cite:
[1] SUMANPREETKAUR, RAJINDER SINGHVIRK Student, Computer Science and Engineering, Guru Nanak Dev University Amritsar, Punjab, India Associate Professor, Computer Science and Engineering, Guru Nanak Dev University Amritsar, Punjab, India , “DCT Based Fast Face Recognition Using PCA and ANN,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.