Improved method of image segmentation and feature extraction for embedded fingerprint identification system

An improved method of fingerprint image segmentation and feature extraction has been proposed for the efficient implementation of Automated Fingerprint Identification System (AFIS) on embedded platform. Fingerprint image is segmented based upon the local mean and local variance of the image to reduce the computation. Spatial domain Gabor filter is used for the image enhancement and features are extracted from thinned binary fingerprint image using the crossing number. Entire algorithm is implemented on ARM processor development platform with WindowsCE6.0 operating system.