Advanced Palmprint Recognition using Unsharp Masking and Histogram Equalization

Biometric palmprint identification is a technology used for identification and verification of palmprints using image acquisition, preprocessing, feature extraction and template matching. Even though the existing palmprint authentication systems have several advantages, there exist many disadvantages such as less accuracy, computational complexity, implementation expense, high resolution and storage requirement, and so on. This paper proposes an advanced technique called 'Advanced palmprint recognition using unsharp masking and histogram equalization'. This system makes palmprint recognition simpler and more accurate. Unsharp masking is for sharpening the edges while histogram equalization is used to improve the contrast of images. Proposed system with its user friendly environment and high security lets the users to depend more on their security needs.