Palmprint Region of Interest (ROI) Extraction

Abdul Kareem Z. Mohammed, Jamila H. Saud

palm print is one of most vital traits which play an important role in biometric system identification since its uniqueness for each individual. The problem with palmprint is how to extract region of interest (ROI) which have interesting information, some of ROI extraction consume more time or High error rate , the goal is to get better extraction rate, the proposed method covert image into gray scale, apply enhancement filter, convert into binary image to get cutting coordinates, and crop the enhanced image based on achieved coordinates. The proposed approach reach high degree of region of interest (ROI) extraction this approach was applied to more than one dataset,Delli Dataset, special built dataset … etc.