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OLBP on DWT Segments for Effective Face Recognition
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IJERTV9IS030314
OLBP on DWT Segments for Effective Face Recognition
Srinivas Halvi , K B Raja , Shanthi Prasad M J
The real time applications in modern technology use face recognition to authenticate human beings for secure transactions. In this paper, we propose OLBP on DWT Segments for Effective Face Recognition. The regular face image databases are deliberated to exam our technique and applied Discrete Wavelet Transform (DWT). The LL band is considered and resized for four Symmetrical Vertical Segments (SVS). The Overlap Local Binary Pattern (OLBP) is applied to each vertical segment. The four OLBP segments are flipped vertically and combined with corresponding original OLBP segments to compute average OLBP values. The final OLBP features are obtained by concatenation of four segmented features. The probe image features relate to features of the face image database by Euclidian Distance (ED) to calculate performance parameters. It is witnessed that, the results of our technique is enhanced than the present techniques.
IJERTV9IS030314
OLBP on DWT Segments for Effective Face Recognition
Srinivas Halvi , K B Raja , Shanthi Prasad M J
The real time applications in modern technology use face recognition to authenticate human beings for secure transactions. In this paper, we propose OLBP on DWT Segments for Effective Face Recognition. The regular face image databases are deliberated to exam our technique and applied Discrete Wavelet Transform (DWT). The LL band is considered and resized for four Symmetrical Vertical Segments (SVS). The Overlap Local Binary Pattern (OLBP) is applied to each vertical segment. The four OLBP segments are flipped vertically and combined with corresponding original OLBP segments to compute average OLBP values. The final OLBP features are obtained by concatenation of four segmented features. The probe image features relate to features of the face image database by Euclidian Distance (ED) to calculate performance parameters. It is witnessed that, the results of our technique is enhanced than the present techniques.