Adaptable Fingerprint Minutiae Extraction Algorithm Based-on Crossing Number Method for Hardware Implementation using FPGA Device

Abstract

In this article, a main perspective of developing and implementing fingerprint extraction and matching algorithms as a part of fingerprint recognition system is focused. First, developing a simple algorithm to extract fingerprint features and test this algorithm on PC. The second thing is implementing this algorithm into FPGA devices. The major research topics on which the proposed approach is developing and modifying fingerprint extraction feature algorithm. This development and modification are using crossing number method on pixel representation value ’0’. In this new proposed algorithm, it is no need a process concerning ROI segmentation and no trigonometry calculation. And specially in obtaining their parameters using Angle Calculation Block avoiding floating points calculation. As this method is local feature that usually involve with 60-100 minutiae points, makes the template is small in size. Providing FAR, FRR and EER, performs the performance evaluation of proposed algorithm. The result is an adaptable fingerprint minutiae extraction algorithm into hardware implementation with 14.05 % of EER, better than reference algorithm, which is 20.39 % .The computational time is 18 seconds less than a similar method, which takes 60-90 seconds just for pre-processing step. The first step of algorithm implementation in hardware environment (embedded) using FPGA Device by developing IP Core without using any soft processor is presented.