A Review Report on Fingerprint Image Enhancement Techniques

Volume 2, Issue 2 March – April 2013 Page 224 Abstract: In this paper Finger print Image Enhancement Technique in various approaches using different types of filter is reviewed. Fingerprint image enhancement techniques are so varied, and use so many different image processing approaches, that it is difficult to assemble a meaningful body of techniques suitable for enhancement without extensive background development about it. During review some approaches found in spatial domain, frequency domain, neural network based approach and some fuzzy based approach. The state-of-art in the literature is reviewed to provide a foundation for the evaluation of the proposed approaches. Fingerprint image enhancement can be conducted on either binary images or gray-scale images. Because binary image enhancement have some inherent limitation, so different techniques for gray-level fingerprint images have been reviewed assuming that the local ridge frequency and orientation can be reliably estimated. But this all depend on quality of fingerprint image which play crucial role while applying enhancement techniques. Most of the fingerprint enhancement techniques use contextual filter or multi-resolution filter whose parameters depend on the local ridge frequency and orientation. In last some fuzzy logic based and neural network based enhancement approaches also discussed.