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A Robust and Novel Approach for Palmprint Recognition

The hand is the most flexible organ in human body with high degree of movability. It makes it highly convenient to use hand based authentication both as a single modality and also as a supplement to another biometric modality in a multi biometric system. The high degree of freedom of hand also results in a variety of poses which makes it necessary to deal with pose variation to develop a robust palmprint recognition system. However, the performance of existing techniques for palmprint authentication falls considerably, when the camera is not aligned with the surface of the palm. The problems arise primarily due to variations in appearance introduced due to varying pose, but is compounded by specularity of the skin and blur due to motion and focus. To solve the problem of pose invariance in palmprint recognition, one must also partially address all these problems, since finding palm lines accurately is necessary for any palm based recognition algorithm. We present a novel solution for this problem in this paper for preprocessing and feature extraction method and compared with traditional methods.