Adaptive fingerprint image enhancement with fingerprint image quality analysis

Eun Kyung Yun; Sung Bae Cho

doi:10.1016/j.imavis.2005.09.017

Adaptive fingerprint image enhancement with fingerprint image quality analysis

Eun Kyung Yun, Sung Bae Cho

College of Computing

Research output: Contribution to journal › Article › peer-review

67 Citations (Scopus)

Abstract

Accurate minutiae extraction from fingerprint images is heavily dependent on the quality of the fingerprint images. In order to improve the performance of the system, much effort has been made on the image enhancement algorithms. If the preprocessing is adaptive to the fingerprint image characteristics in the image enhancement step, the performance gets to be more robust. In this paper, we propose an adaptive preprocessing method, which extracts five features from the fingerprint images, analyzes image quality with clustering method, and enhances the images according to their characteristics. Experimental results indicate that the proposed method improves the performance of the fingerprint identification significantly.

Original language	English
Pages (from-to)	101-110
Number of pages	10
Journal	Image and Vision Computing
Volume	24
Issue number	1
DOIs	https://doi.org/10.1016/j.imavis.2005.09.017
Publication status	Published - 2006 Jan 1

Bibliographical note

Funding Information:
This work was supported by the Korea Science and Engineering Foundation (KOSEF) through the Biometrics Engineering Research.

All Science Journal Classification (ASJC) codes

Signal Processing
Computer Vision and Pattern Recognition

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10.1016/j.imavis.2005.09.017

Cite this

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title = "Adaptive fingerprint image enhancement with fingerprint image quality analysis",

abstract = "Accurate minutiae extraction from fingerprint images is heavily dependent on the quality of the fingerprint images. In order to improve the performance of the system, much effort has been made on the image enhancement algorithms. If the preprocessing is adaptive to the fingerprint image characteristics in the image enhancement step, the performance gets to be more robust. In this paper, we propose an adaptive preprocessing method, which extracts five features from the fingerprint images, analyzes image quality with clustering method, and enhances the images according to their characteristics. Experimental results indicate that the proposed method improves the performance of the fingerprint identification significantly.",

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

note = "Funding Information: This work was supported by the Korea Science and Engineering Foundation (KOSEF) through the Biometrics Engineering Research. ",

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AU - Cho, Sung Bae

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Y1 - 2006/1/1

N2 - Accurate minutiae extraction from fingerprint images is heavily dependent on the quality of the fingerprint images. In order to improve the performance of the system, much effort has been made on the image enhancement algorithms. If the preprocessing is adaptive to the fingerprint image characteristics in the image enhancement step, the performance gets to be more robust. In this paper, we propose an adaptive preprocessing method, which extracts five features from the fingerprint images, analyzes image quality with clustering method, and enhances the images according to their characteristics. Experimental results indicate that the proposed method improves the performance of the fingerprint identification significantly.

AB - Accurate minutiae extraction from fingerprint images is heavily dependent on the quality of the fingerprint images. In order to improve the performance of the system, much effort has been made on the image enhancement algorithms. If the preprocessing is adaptive to the fingerprint image characteristics in the image enhancement step, the performance gets to be more robust. In this paper, we propose an adaptive preprocessing method, which extracts five features from the fingerprint images, analyzes image quality with clustering method, and enhances the images according to their characteristics. Experimental results indicate that the proposed method improves the performance of the fingerprint identification significantly.

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Adaptive fingerprint image enhancement with fingerprint image quality analysis

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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