Discrete Wavelet Transform (DWT) – Gray Level Co-occurrence Matric (GLCM) – Based Fingerprint Recognition Method

Fingerprint recognition system has become among the most popular system used either in civilian law or personal security system. Mostly, fingerprint recognition is based on minutiae that is corresponding to features of the image and thus the similarities are evaluated. In this paper, another technique is used to overcome the normal issue of time consumption. Thus, discrete wavelet transform (DWT) and grey level co-occurrence metrics (GLCM) is proposed to have shorter time consumption. Throughout this paper, the project is to evaluate similarities of fingerprint images in terms of false acceptance rate (FAR), false rejection rate (FRR), and total success rate (TSR). The fingerprint images consist of 15 subjects with about four different images each.