Global Ridge Orientation Modeling for Partial Fingerprint Identification

Authors:
Yi Wang;Jiankun Hu
Affiliations:
The University of New South Wales, Sydney;RMIT University, Melbourne
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
2011

Citing 0
Cited 4

Pair-polar coordinate-based cancelable fingerprint templates

Pattern Recognition
Alignment-free cancelable fingerprint template design: A densely infinite-to-one mapping (DITOM) approach

Pattern Recognition
Design of alignment-free cancelable fingerprint templates via curtailed circular convolution

Pattern Recognition
Fingerprint orientation field reconstruction by weighted discrete cosine transform

Information Sciences: an International Journal

Quantified Score

Hi-index	0.14

Visualization

Abstract

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, we investigate the problem of retrieving candidate lists for matching partial fingerprints by exploiting global topological features. Specifically, we propose an analytical approach for reconstructing the global topology representation from a partial fingerprint. First, we present an inverse orientation model for describing the reconstruction problem. Then, we provide a general expression for all valid solutions to the inverse model. This allows us to preserve data fidelity in the existing segments while exploring missing structures in the unknown parts. We have further developed algorithms for estimating the missing orientation structures based on some a priori knowledge of ridge topology features. Our statistical experiments show that our proposed model-based approach can effectively reduce the number of candidates for pair-wised fingerprint matching, and thus significantly improve the system retrieval performance for partial fingerprint identification.