Singular point detection by shape analysis of directional fields in fingerprints

Park, Chul-Hyun; Lee, Joon-Jae; Smith, M.J.T.; Park, Kil−Houm

doi:10.1016/j.patcog.2005.10.021

Cited by 51 publications

(17 citation statements)

References 18 publications

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“…Experimental results tested on FVC2000Db2A (100 fingers, 8 fingerprints /finger, capacitive sensor size 364×256 pixels, 500 dpi) which is also tested in [4,5,6,7,10,11]. Accuracy performance comparisons of various algorithms, referred to distance error and orientation error, are shown in Table 1 and Table 2, respectively.…”

Section: Resultsmentioning

confidence: 99%

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Focal Point Detection Based on Half Concentric Lens Model for Singular Point Extraction in Fingerprint

Boonchaiseree

Areekul

2009

Advances in Biometrics

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Abstract.A focal point is a kind of singular points, closely related to a core point, which can be derived from curvature of fingerprint ridges and valleys. It is expected that the focal point is more reliable than the core point in case of low quality fingerprint. This paper proposes a new efficient focal point localization method based on a half concentric lens model. The half concentric lens window, with directional adaptive, accelerates convergence of a focal point localization process rapidly. Moreover, concentric lens similarity factor is introduced in order to measure orientation and stability of an extracted focal point. From experimental results, the proposed scheme is out-performed most of singular point detection schemes in literature in term of location accuracy and consistency. For computational complexity, algorithm requires average 75 millisecond execution-time from original fingerprint to a unique focal point.

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Section: Resultsmentioning

confidence: 99%

“…Park et.al. [4] analyzed directional field pattern and proposed filtering rules to detect singular point including arch type. Another sub-classes of pattern-based approach is called complex symmetrical filters, introduced by Nilsson and Bigun [5].…”

Section: Introductionmentioning

confidence: 99%

Focal Point Detection Based on Half Concentric Lens Model for Singular Point Extraction in Fingerprint

Boonchaiseree

Areekul

2009

Advances in Biometrics

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“…It is maybe in the domain of fingerprint recognition, which is today the most widely used biometric features for personal identification, where the study of directional structures (called orientation-fields) based on directional structures detection is an active subject of research [7,8,9]. In fact, fingerprints can be considered as a structure composed by a set of line segments (see Fig.…”

Section: Introductionmentioning

confidence: 99%

Directional Structures Detection Based on Morphological Line-Segment and Orientation Functions

Terol-Villalobos

Morales-Hernandez

Herrera-Ruíz

2008

Discrete Geometry for Computer Imagery

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Abstract. In the present paper a morphological approach for segmenting directional structures is proposed. This approach is based on the concept of the line-segment and orientation functions. The line-segment function is computed from the supremum of directional erosions. This function contains the sizes of the longest lines that can be included in the structure. To determine the directions of the line segments, the orientation function which contains the angles of the line segments it is built when the line-segment function is computed. Next, by combining both functions, a weighted partition is built using the watershed transformation. Finally, the elements of the partition are merged according to some directional and size criteria for computing the desired segmentation of the image using a RAG structure.

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“…In order to exploit singularity for alignment reference, several approaches [4,5] try to extract singularity from arch type, as well as tolerating noisy and low quality fingerprint. In [4], Liu et al improve performance of Poincare index method by applying scale space analysis and orientation variance.…”

Section: Introductionmentioning

confidence: 99%

“…In [4], Liu et al improve performance of Poincare index method by applying scale space analysis and orientation variance. In [5], Park et al construct predefined rules for singularity detection and directional field smoothing.…”

Section: Introductionmentioning

confidence: 99%

The New Focal Point Localization Algorithm for Fingerprint Registration

Areekul

Suppasriwasuseth

Jirachawang

2006

18th International Conference on Pattern Recognition (ICPR'06)

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The new algorithm of unique point localization for fingerprint registration is proposed. The focal point, an average center of curvature of fingerprint, is the unique and reliable reference point, suitable for fingerprint registration. In this paper, the new approach demonstrates fast and reliable reference point. Moreover, the focal point can be located even it is out of original fingerprint boundary and singularity is not exist.

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Singular point detection by shape analysis of directional fields in fingerprints

Cited by 51 publications

References 18 publications

Focal Point Detection Based on Half Concentric Lens Model for Singular Point Extraction in Fingerprint

Focal Point Detection Based on Half Concentric Lens Model for Singular Point Extraction in Fingerprint

Directional Structures Detection Based on Morphological Line-Segment and Orientation Functions

The New Focal Point Localization Algorithm for Fingerprint Registration

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