AN EVALUATION ON THE SURVEY REPORTS OF FINGERPRINT IMAGE SEGMENTATION TECHNIQUES

Along with the technological advancement, the reliable individual recognition and identification system became very important. Many biometric characteristics can be used: iris, face, fingerprint, voice, gait etc. From the various biometric characteristics, fingerprint is one of the popular methods as the fingerprint sensors are relatively much more economical than others. Despite of the constant research carried out in the field of finger- print, still there are open challenges to be solved. Almost every automatic biometric identification system works by extracting features from the input image. A fingerprint image is obtained by a sensor which contains two areas, a foreground and a back- ground area. The foreground is the region obtained by pressing the fingertip on the sensor. The back- ground is usually the noisy area at the borders of the image. Automatic Fingerprint Identification System (AFIS) that makes use of a feature extraction algo- rithm tries to extract only Region of Interest (ROI) by eliminating the false features.