Abstract
In today’s world, biometrics system is used everywhere for the security and personal identification. Palmprint is a very important type of biometrics and it is used mostly in forensic applications. In this paper, high resolution palmprint images are used, feature extraction and matching steps are developed such as system is simple, more accurate and faster. Minutiae Cylindrical code is used for matching purpose. Palmprint recognition is difficult task because of size of large images. For high security applications high resolution palmprints are needed from which more extra information can be extracted. This Palmprint recognition system has many steps to common with fingerprint having optimized and specified steps to process large sized palmprint images. Feature extraction method is used to detect minutiae followed by local matching algorithm.
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