An efficient technique for automatic segmentation of fingerprint ROI from digital slap image

Slap fingerprint scanner can simultaneously acquire fingerprint of four fingers of a human hand in a single image. Subsequently, the image is required to be segmented to get fingerprints of individual fingers. The paper proposes a novel and efficient technique to extract individual fingerprints. It applies a divide and conquer strategy by using force field and heuristics. The technique has been tested on two slap image databases viz. IITK-4Slap-Rural and IITK-4Slap-Student and has achieved high segmentation accuracy.