A comparative study on quality assessment of high resolution fingerprint images

Qijun Zhao; Feng Liu; Lei Zhang; Dapeng Zhang

doi:10.1109/ICIP.2010.5648800

A comparative study on quality assessment of high resolution fingerprint images

Qijun Zhao, Feng Liu, Lei Zhang, Dapeng Zhang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

20 Citations (Scopus)

Abstract

High resolution fingerprint images have been increasingly used in fingerprint recognition. They can provide more fine features (e.g. pores) than standard fingerprint images to improve the recognition accuracy. It is however still an open issue whether or not existing quality assessment methods are suitable for high resolution fingerprint images. This paper compares some typical quality indexes by analyzing the correlation between them and their prediction ability on minutia-based and pore-based high resolution fingerprint recognition accuracy. Experimental results show that the indexes based on ridge orientation are more effective for high resolution fingerprint recognition systems.

Original language	English
Title of host publication	2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages	3089-3092
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2010.5648800
Publication status	Published - 1 Dec 2010
Event	2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong Duration: 26 Sept 2010 → 29 Sept 2010

Conference

Conference	2010 17th IEEE International Conference on Image Processing, ICIP 2010
Country/Territory	Hong Kong
City	Hong Kong
Period	26/09/10 → 29/09/10

Keywords

Fingerprint recognition
High resolution fingerprint images
Quality assessment

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

More information

10.1109/ICIP.2010.5648800

Cite this

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title = "A comparative study on quality assessment of high resolution fingerprint images",

abstract = "High resolution fingerprint images have been increasingly used in fingerprint recognition. They can provide more fine features (e.g. pores) than standard fingerprint images to improve the recognition accuracy. It is however still an open issue whether or not existing quality assessment methods are suitable for high resolution fingerprint images. This paper compares some typical quality indexes by analyzing the correlation between them and their prediction ability on minutia-based and pore-based high resolution fingerprint recognition accuracy. Experimental results show that the indexes based on ridge orientation are more effective for high resolution fingerprint recognition systems.",

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Zhao, Q, Liu, F, Zhang, L & Zhang, D 2010, A comparative study on quality assessment of high resolution fingerprint images. in 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings., 5648800, pp. 3089-3092, 2010 17th IEEE International Conference on Image Processing, ICIP 2010, Hong Kong, Hong Kong, 26/09/10. https://doi.org/10.1109/ICIP.2010.5648800

A comparative study on quality assessment of high resolution fingerprint images. / Zhao, Qijun; Liu, Feng; Zhang, Lei et al.
2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings. 2010. p. 3089-3092 5648800.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - High resolution fingerprint images have been increasingly used in fingerprint recognition. They can provide more fine features (e.g. pores) than standard fingerprint images to improve the recognition accuracy. It is however still an open issue whether or not existing quality assessment methods are suitable for high resolution fingerprint images. This paper compares some typical quality indexes by analyzing the correlation between them and their prediction ability on minutia-based and pore-based high resolution fingerprint recognition accuracy. Experimental results show that the indexes based on ridge orientation are more effective for high resolution fingerprint recognition systems.

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A comparative study on quality assessment of high resolution fingerprint images

Abstract

Conference

Keywords

ASJC Scopus subject areas

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