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RESEARCH PRODUCT

An Advanced Technique for User Identification Using Partial Fingerprint

Vincenzo ContiSalvatore VitabileGiuseppe VitelloFilippo Sorbello

subject

MinutiaeSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMatching (statistics)Biometricsbusiness.industryComputer scienceData_MISCELLANEOUSFeature extractionFingerprint Verification CompetitionPattern recognitionFingerprint recognitionIdentification (information)FingerprintComputer visionArtificial intelligenceUser identification Partial fingerprint Minutiae Roto-translation parametersbusiness

description

User identification is a very interesting and complex task. Invasive biometrics is based on traits uniqueness and immutability over time. In forensic field, fingerprints have always been considered an essential element for personal recognition. The traditional issue is focused on full fingerprint images matching. In this paper an advanced technique for personal recognition based on partial fingerprint is proposed. This system is based on fingerprint local analysis and micro-features, endpoints and bifurcations, extraction. The proposed approach starts from minutiae extraction from a partial fingerprint image and ends with the final matching score between fingerprint pairs. The computation of likelihood ratios in fingerprint identification is computed by trying every possible overlapping of the partial image with complete image. The first experimental results conducted on the PolyU (Hong Kong Polytechnic University) free database show an encouraging performance in terms of identification accuracy.

10.1109/cisis.2013.46http://hdl.handle.net/10447/100572