Reference Point Detection for Arch Type Fingerprints

Lam, H.K.; Hou, Zujun; Yau, Wei-Yun; Chen, T. P.; Li, J.; Sim, K. Y.

doi:10.1007/978-3-642-01793-3_68

Cited by 6 publications

(4 citation statements)

References 8 publications

(8 reference statements)

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“…Because -with the core or the FCP as a referencepractitioners generally find it difficult to deal with fingerprints that belong to the PA class, Lam et al [8] recently introduced a technique that can detect a reference point in fingerprints of this type. The only problem with this recent development is that this technique is dedicated only to those fingerprints that belong to the PA class.…”

Section: The Current State Of Affairsmentioning

confidence: 99%

A Novel Fingerprint Re-alignment Solution that Uses the TFCP as a Reference

Msiza¹,

Malumedzha²,

Leke-Betechuoh³

2011

IJMLC

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Abstract-Fingerprint re-alignment is an important aspect in the subject of fingerprint biometrics because a fingerprint recognition system that does not attempt to re-align an involuntarily rotated fingerprint can create opportunities for falsely rejecting a legitimate subject. It can also create opportunities for security attacks where an illegitimate subject voluntarily rotates their fingerprint, as a way of tempering with the functionality of the recognition system. This manuscript presents a new fingerprint re-alignment solution that uses the True Fingerprint Center Point (TFCP) as a reference, where the TFCP is introduced as the actual center of the fingerprint image foreground. Using the TFCP as a reference point proves -in general -to be fast, independent, and efficient for all types of fingerprints. It, in particular, is useful when dealing with the type of fingerprints that belong to the Plain Arch (PA) fingerprint class. The credibility of this proposed solution is interrogated through its applicability on fingerprint ridge surface estimation and fingerprint template matching.

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Section: The Current State Of Affairsmentioning

confidence: 99%

A Novel Fingerprint Re-alignment Solution that Uses the TFCP as a Reference

Msiza¹,

Malumedzha²,

Leke-Betechuoh³

2011

IJMLC

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“…Fingerprint, as one of the most reliable human characteristics can be used for people recognition [1,2]. Two of the most prominent kinds of minutiae, ridge bifurcations and ridge endings, are commonly used in fingerprint recognition systems.…”

Section: Introductionmentioning

confidence: 99%

NDTC: A novel topology-based fingerprint matching algorithm using N-layer Delaunay triangulation net check

Yang

Stojmenović

2012

2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)

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The problem of recognizing an individual using minutiae of fingerprints can be considered as a point matching problem. However, several factors such as the translation, rotation and deformation of the fingerprints as well as the presence of spurious minutiae and the absence of genuine minutiae, make it difficult to find correspondent minutia-pairs. In this paper, we proposed a novel topology-based fingerprint matching algorithm named N-layer Delaunay Triangulation Net Check (NDTC). This scheme fully utilizes the advantages of the special features of Delaunay triangulation net, e.g. local structural stability and global structural uniqueness, to tackle these problems, in order to to provide reliable and robust minutiae matching. Our algorithm performance is evaluated on a public domain database FVC2002 DB2_A.

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“…The reference point is obtained by applying a set of rules and morphological operations to these images. All the In [9] is proposed a solution for the estimation of the reference point for arch type fingerprints, that do not present any singular point. This class of fingerprint is uncommon.…”

Section: Previous Workmentioning

confidence: 99%