Adaptive enhancing of fingerprint image with image characteristics analysis

Eun Kyung Yun; Jin Hyuk Hong; Sung Bae Cho

doi:10.1007/978-3-540-30549-1_11

Adaptive enhancing of fingerprint image with image characteristics analysis

Eun Kyung Yun, Jin Hyuk Hong, Sung Bae Cho

College of Computing

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

The quality of the fingerprint images greatly affects the performance of the minutiae extraction. In order to improve the performance of the system, many researchers have been made efforts on the image enhancement algorithms. If the adaptive preprocessing according to the fingerprint image characteristics is applied in the image enhancement step, the system performance would be more robust. In this paper, we propose an adaptive preprocessing method, which extracts five features from the fingerprint images, analyzes image quality with Ward's clustering algorithm, and enhances the images according to their characteristics. Experimental results indicate that the proposed method improves both the quality index and block directional difference significantly in a reasonable time.

Original language	English
Pages (from-to)	120-131
Number of pages	12
Journal	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume	3339
DOIs	https://doi.org/10.1007/978-3-540-30549-1_11
Publication status	Published - 2004
Event	17th Australian Joint Conference on Artificial Intelligence, AI 2004: Advances in Artificial Intelligence - Cairns, Australia Duration: 2004 Dec 4 → 2004 Dec 6

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

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10.1007/978-3-540-30549-1_11

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@article{5c168fa187594821a512f07f45494159,

title = "Adaptive enhancing of fingerprint image with image characteristics analysis",

abstract = "The quality of the fingerprint images greatly affects the performance of the minutiae extraction. In order to improve the performance of the system, many researchers have been made efforts on the image enhancement algorithms. If the adaptive preprocessing according to the fingerprint image characteristics is applied in the image enhancement step, the system performance would be more robust. In this paper, we propose an adaptive preprocessing method, which extracts five features from the fingerprint images, analyzes image quality with Ward's clustering algorithm, and enhances the images according to their characteristics. Experimental results indicate that the proposed method improves both the quality index and block directional difference significantly in a reasonable time.",

author = "Yun, {Eun Kyung} and Hong, {Jin Hyuk} and Cho, {Sung Bae}",

year = "2004",

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journal = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",

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note = "17th Australian Joint Conference on Artificial Intelligence, AI 2004: Advances in Artificial Intelligence ; Conference date: 04-12-2004 Through 06-12-2004",

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TY - JOUR

T1 - Adaptive enhancing of fingerprint image with image characteristics analysis

AU - Yun, Eun Kyung

AU - Hong, Jin Hyuk

AU - Cho, Sung Bae

PY - 2004

Y1 - 2004

N2 - The quality of the fingerprint images greatly affects the performance of the minutiae extraction. In order to improve the performance of the system, many researchers have been made efforts on the image enhancement algorithms. If the adaptive preprocessing according to the fingerprint image characteristics is applied in the image enhancement step, the system performance would be more robust. In this paper, we propose an adaptive preprocessing method, which extracts five features from the fingerprint images, analyzes image quality with Ward's clustering algorithm, and enhances the images according to their characteristics. Experimental results indicate that the proposed method improves both the quality index and block directional difference significantly in a reasonable time.

AB - The quality of the fingerprint images greatly affects the performance of the minutiae extraction. In order to improve the performance of the system, many researchers have been made efforts on the image enhancement algorithms. If the adaptive preprocessing according to the fingerprint image characteristics is applied in the image enhancement step, the system performance would be more robust. In this paper, we propose an adaptive preprocessing method, which extracts five features from the fingerprint images, analyzes image quality with Ward's clustering algorithm, and enhances the images according to their characteristics. Experimental results indicate that the proposed method improves both the quality index and block directional difference significantly in a reasonable time.

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DO - 10.1007/978-3-540-30549-1_11

M3 - Conference article

AN - SCOPUS:22944461418

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VL - 3339

SP - 120

EP - 131

JO - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

JF - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

T2 - 17th Australian Joint Conference on Artificial Intelligence, AI 2004: Advances in Artificial Intelligence

Y2 - 4 December 2004 through 6 December 2004

ER -

Adaptive enhancing of fingerprint image with image characteristics analysis

Abstract

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