Security

Global Ridge Orientation Modeling for Partial Fingerprint Identification

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Executive Summary

Identifying incomplete or partial fingerprints from a large fingerprint database remains a difficult challenge today. Existing studies on partial fingerprints focus on one-to-one matching using local ridge details. In this paper, the authors investigate the problem of retrieving candidate lists for matching partial fingerprints by exploiting global topological features. Specifically, they propose an analytical approach for reconstructing the global topology representation from a partial fingerprint. Firstly, they present an inverse orientation model for describing the reconstruction problem. Then, they provide a general expression for all valid solutions to the inverse model. This allows one to preserve data fidelity in the existing segments while exploring missing structures in the unknown parts.

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