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In this paper, an approach for pose invariant face detection is proposed by estimating the pose of detected face image. The approach comprises of detection of frontal and profile faces, followed by degree of freedom (DoF) identification and accurate estimation of pose. For pose invariant face detection, cascaded structure of Haar-like features along with(More)
The classical fingerprint recognition system can be compromised at the database and the sensor. Therefore, to beef up security of the fingerprint recognition system, reversible watermarking is proposed to protect these two points. Reversible watermarks thwart manipulations, $${viz}$$ v i z ., copy and replay attacks and ensure that native fingerprint(More)
In this paper, we describe an image watermarking scheme using compressive sensing for detection of image tampering. We exploit dimensionality reduction and inherent computational security offered by compressive sensing. The frequency band containing the high energy is used to compute the hash and then its pseudo-random projections are obtained. These(More)
Face images of a person taken in varying expressions, orientations, lighting conditions are expected to be close to each other even under any mathematical transformation. These high dimensional face images are difficult to be recognized as faces of same person by machines in contrast to the humans. Many of the existing face recognition systems thus(More)
For every biometric template protecting technique, non-reversibility, accuracy, and revocability are essential features. Several template protecting techniques like bio-hash or biometric crypto system are used to transform raw biometric features into alternative form known as protected template [2]. As the protected templates are non-reversible, biometric(More)
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