Personal identification/verification by using four fingers

This paper presents an approach to personal verification and identification based on four fingers geometry. Having been extracted, twenty four features of four fingers little ring middle index, Fingers´ width and length, are classified with two different pattern recognition systems Euclidean and Absolute Distance. The algorithm has been tested on 500 pictures of 50 users. Result shows 99.811 identification rate and 0.1743% Equal error rate (EER) with absolute distance classifier. As the reported algorithm is not sensible to rotation of hand pictures are captured with a scanner without any special instrument for fixing the placement therefore the purposed method is an inexpensive and easy to use. The experimental result shows the system performance in identification and verification.