Fingerprint Liveness Detection Using Wavelet
Fingerprint verification is one of the most reliable personal identification methods. It plays a very important role in forensic and civilian applications. In this paper, the authors propose a simple and effective approach for fingerprint liveness detection based on the wavelet analysis of the finger tip surface texture. In present situation, manual fingerprint verification is so tedious, time-consuming, expensive and incapable of meeting today's increasing performance requirements. Wavelet transform which has wide range of applications such as image compression, denoising noisy data, texture classification, etc., is used for fingerprint verification. Experimental results show that their method can successfully differentiate live finger tips from fake finger tips made of most commonly used material in fingerprint spoofing.