A Survey On Hough Transform-based fingerprint Alignment Approaches
نویسندگان
چکیده
1Student, Department of CSE, M.tech, Meerut Institute of Engg. & Technology, Uttar Pradesh, India. 2Associate Professor, Department of CSE, Meerut Institute of Engg & Technology, Uttar Pradesh, India. ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Fingerprint is the most common and authentic biometric for personal identification, especially for forensic security. This review paper describes minutiae extraction from fingerprint image and also classifies existing fingerprint alignment approaches based on Hough Transformation. These approaches are efficiently described and compared on the basis of computing time and memory usage with accurate alignment parameter (rotation and translation). We found that performance of DRBA approach is good with minutiae points in large amount of translation, and also its computational time is less than that of LMBA approach. However, the memory requirement in DRBA is greater than LMBA. This comparative study is helpful in selection of the method to get optimal alignment result with given constraints. The whole paper presents a good technical summary for the beginners to work in the area of fingerprint alignment
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