Fingerprint analysis and singular point detection

Huang, Ching-Yu; Liu, Limin; Hung, D.C.D.

doi:10.1016/j.patrec.2007.04.003

Cited by 39 publications

(22 citation statements)

References 14 publications

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“…Oliveira et al [8] proposed a multiscale directional operator and morphological tools for reconnecting broken ridges in fingerprint images. Huang et al [1] proposed singular point detection.…”

Section: Related Workmentioning

confidence: 99%

Experiment and Analysis Services in a Fingerprint Digital Library for Collaborative Research

Park

Leidig

et al. 2011

Research and Advanced Technology for Digital Libraries

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Abstract. Fingerprint management systems support millions of images and complicated but imperfect image identification algorithms. The forensic community requires a set of digital library services to support large image collections, execute identification algorithms, and analyze experiments that test identification algorithms in development. We present a model and prototype system capable of testing and analyzing fingerprinting algorithms in terms of identification performance based on matches of a known image to partial images, distortions of the images, and sub-regions of the images. These services are provided based on our framework for composing a set of services and a fingerprint image collection. The prototype will be useful in collaborations connecting several algorithm development efforts, and in composing an experimentation workflow. We also describe extensions of these services into other domains.

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Section: Related Workmentioning

confidence: 99%

Experiment and Analysis Services in a Fingerprint Digital Library for Collaborative Research

Park

Leidig

et al. 2011

Research and Advanced Technology for Digital Libraries

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“…Thus, gradient map is segmented into a few regions and the intersection points are taken as singular points [6]. This method is improved by many other authors by using extended graph method [7], pyramidal analysis [8] or by finding points with minimum coherence [9] or large curvature [10].…”

Section: Figure 1 Example Of Singular Points In a Fingerprintmentioning

confidence: 99%

A novel algorithm for fingerprint singular points detection based on vecrot orthogonal theory

Yin

Jing

Sun

2011

2011 IEEE International Conference on Cloud Computing and Intelligence Systems

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Fingerprint recognition is a widely used biometric identification mechanism. The singular points of fingerprints are important referential points for the fingerprint classification and fingerprint matching. In this paper, we propose a novel algorithm for detecting the singular points. The method is based on vector orthogonal theory and the fact that the singular points have special pattern of the orientation field. We use the same mask to detect the core points and delta points in different field. After applying the special mask, the core points and delta points will be detected in the orientation field and double orientation field respectively. To substantiate the performance of our approach, we have experimented with fvc2002 and fvc2004 database. Experimental results show that our algorithm is accurate and robust, giving better results than competing approaches.

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“…In addition, other researchers introduced various approaches such as orientation curvature [13,16,17], pixelwised orientation field [11,12] and template model matching [29]. Unfortunately, those methods were unable to handle low quality of fingerprint image.…”

Section: Introductionmentioning

confidence: 99%

Core-Point Detection on Camera-Based Fingerprint Image

Kurniawan

Khan

2013

2013 International Symposium on Biometrics and Security Technologies

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Core-point detection is a crucial task in fingerprint recognition systems. Existing fingerprint system that deals with a large-scale database is considering the core-point prior to extract robust features. Performances of various core-point detections are reported throughout the literature exclusively intended for scanner-based fingerprint image. Despite propose and evaluate novel core-point detection for scanner-based, this paper explores feasibility core-point detection applied for fingerprint image acquired using camera-based. In this regard, ridge analysis method prior to core-point detection that based on discrete Fourier transform is introduced. The experimental result on the collected database shows that the proposed technique exhibits promising performance.Index Terms-core-point detection, camera-based, DFT-based ridge analysis, fingerprint.

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Fingerprint analysis and singular point detection

Cited by 39 publications

References 14 publications

Experiment and Analysis Services in a Fingerprint Digital Library for Collaborative Research

Experiment and Analysis Services in a Fingerprint Digital Library for Collaborative Research

A novel algorithm for fingerprint singular points detection based on vecrot orthogonal theory

Core-Point Detection on Camera-Based Fingerprint Image

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