Beyond Minutiae: A Fingerprint Individuality Model with Pattern, Ridge and Pore Features

14 years 5 months ago

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Abstract. Fingerprints are considered to be unique because they contain various distinctive features, including minutiae, ridges, pores, etc. Some attempts have been made to model the minutiae in order to get a quantitative measure for uniqueness or individuality of ﬁngerprints. However, these models do not fully exploit information contained in nonminutiae features that is utilized for matching ﬁngerprints in practice. We propose an individuality model that incorporates all three levels of ﬁngerprint features: pattern or class type (Level 1), minutiae and ridges (Level 2), and pores (Level 3). Correlations among these features and their distributions are also taken into account in our model. Experimental results show that the theoretical estimates of ﬁngerprint individuality using our model consistently follow the empirical values based on the public domain NIST-4 database. Key words: ﬁngerprint individuality, statistical models, probability of random correspondence (PRC), m...

Yi Chen, Anil K. Jain

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