International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
This paper describes a fingerprint identification technique which is fusion of two approaches: a minutiae based and wavelet statistical features. A minutia matching is widely used for fingerprint recognition but shows poor performance when image quality is degraded. However, its performance can be enhanced by the combination of other technique like wavelet transform method. Wavelets are good for local analysis, so used for extracting local features from fingerprint. The final matching score is estimated using fusing matching scores of minutiae based and wavelet based method. By measuring False Reject Rate (FRR) and False Accept Rate (FAR) the performance of hybrid fingerprint identification method is calculated.