On the Individuality of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In this paper, case study on fingerprints of twins has been carried out on an original database of twenty eight twins to understand the difficulties in discrimination. Database of 28 twins is created by collecting fingerprints from different parts of Maharashtra state, India by using optical fingerprint sensor with ultra-precise 500 DPI resolution. After creating the database, a fingerprint impression of each twin is studied in detail. The study is mainly conducted for intra class classification and salient minutiae identification. These fingerprints are compared and studied. This paper is discusses discrimination issues of them. Mat lab based software is developed for this purpose and tested for identification of twins. Mat lab based software is quiet capable of recognizing the images from database and has a % accuracy of 67.5 with False Acceptance Rate (FAR) and False Rejection Rate (FAR)of 11.5 % and 32.5 respectively. Results show that the twins having same class of fingerprints can be discriminated only at minutiae level.