Adaptive Fingerprint Image Enhancement with Minutiae Extraction

Fingerprint image enhancement is the basic and most required component of biometric verification system. This method proposes a fingerprint image enhancement and template based minutiae extraction techniques. For better enhancement the preprocessing stage includes global and local analysis. In the preprocessing and local analysis blocks, a nonlinear dynamic range adjustment method is used. In the global analysis and matched filtering blocks, different forms of order statistical filters are applied. The input low quality fingerprint image should be enhanced and segmented in to a binarized mode. Contrast level should be enhanced to provide better visual enhancement using SMQT method. Fingerprint images are rarely of perfect quality. They may be degraded and corrupted due to variations in skin and impression conditions. Thus image enhancement techniques are employed prior to minutiae extraction to obtain a more reliable of minutiae locations. Extracting minutiae from fingerprint is one of the most important steps in automatic fingerprint identification and classification. Minutiae are local discontinuities in the fingerprint pattern, mainly ridge ending and bifurcation. A novel approach for extracting of minutiae is attempted through a fixed size template matching process. It is helpful to increase the verification accuracy on automatic fingerprint identification system. Keywords— Minutiae, biometric, bifurcation, ridge end, template matching.