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This paper presents a Pose Invariant Face Recognition algorithm for pose-variance in face databases, which is one of the toughest challenges of any face recognition based biometrics, using a novel feature extraction technique. The feature extraction of the raw images is based upon a novel patch-wise self-similarity measure within an image. The algorithm has been tested upon a Far-infrared (FIR) imaging...
With the advancement in biometric recognition techniques, Palm Dorsa Subcutaneous Vein Pattern (PDSVP) [1] has emerged as a reliable and promising physiological biometric feature. Consequently, PDSVP has been extensively used as a biometric feature in recent research works on biometrics. However, the procedure of automatic data acquisition and PDSVP extraction is quite challenging. This article shows...
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