期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：1
页码：9892-9898
出版社：IJECS
摘要：Biometric based authentication system provides robust security and ease of use than conventional methods of verification system.Among various biometrics namely iris, face and gait recognition, Fingerprint recognition has been extensively used by severalorganizations for recognition and authentication purpose because of its low cost, usability and reliable performance. However, theperformance of fingerprint identification techniques are extensively depends on the quality of the input fingerprint images. Due tothe context of the image-acquisition process, most of the fingerprint images are found to be low or lack in quality. By concerningprivacy issues, these types of low-quality fingerprint templates are easily accessible by intruders, thereby lacks the security. Toaddress this issue, the present work proposes quality enhanced, secured biometric template which simultaneously combines thequality enhancement and cancellable template generation techniques for robust authentication purpose. The fingerprint quality canbe improved by means of two-phase enhancement technique, learns the acquired input image by enhancing spatial and frequencydomain of image respectively. After that, the cancellable fingerprint templates are generated by means of transforming the qualityenhanced fingerprint minutiae distortedly by using Distortion Transformation. Experimental results show that the proposedalgorithm efficiently holds various input image contexts and attains improved results in terms of quality and security whencompared with some state-of-the-art methods, and thus improves the fingerprint-authentication systems performance
