ABSTRACT

Fingerprint Segmentation is one of the critical and important steps in Automatic Fingerprint Recognition System (AFIS). It is a process that separates the fingerprint image into two regions, the foreground and background. The foreground region will have the fingerprint region containing features for recognition and the background region is the unwanted region which can be excluded from further process. In this paper some of the frequently used existing methods are analyzed and implemented. Then all these methods are combined in a sequential manner to propose an enhanced segmentation method. Finally the proposed method is evaluated and compared with the existing algorithm. Experimental results proved that the efficiency of the proposed method is higher than those of the previously described methods.