Proceedings of the International Conference & Workshop on Emerging Trends in Technology
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In automated fingerprint identification systems, an efficient and accurate alignment algorithm in the preprocessing stage plays a crucial role in the performance of the whole system. In this paper, we explore the use of genetic algorithms for optimizing the alignment of a pair of fingerprint images. To test its performance, we compare the implemented genetic algorithm with two other algorithms, namely, 2D and 3D algorithms. Based upon our experiment on 250 pairs of fingerprint images, we find that: 1) genetic algorithms run ten times faster that 3D algorithm with similar alignment accuracy, and 2) genetic algorithms are 13% more accurate than 2D algorithm, with same running time. The conclusion drawn from this study is that a genetic algorithm approach is an efficient and effective approach for fingerprint image registration.