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Efficient face recognition is one of the long standing problems of computer vision. Texture is an important spatial feature, useful for identifying facial objects of interest in an image. The most popular statistical methods used to measure the textural information of images are the grey level cooccurrence matrix (GLCM) and the texture spectrum (TS) Approach. The major problem of these two approaches...
This paper derives a child and adulthood classification technique by integrating the statistical and structural approaches. The structural approaches are derived on a 3 × 3 window based on Local binary pattern (LBP) approach. The proposed approach divides the LBP in to two structural patterns. The present paper derives two distinct patterns called Left Diagonal (LD) and Right Diagonal (RD) LBP's....
In this present work a wavelet based watermarking technique is discussed. The proposed method transforms the image into wavelet coefficients by using DWT. A Simplified Significant Wavelet Tree (SSWT) is formed with wavelet coefficients (other than at lowest level) at higher level subband descending towards lower levels. The proposed scheme quantizes the SSWT coefficients to embed a bit of watermark...
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