Fingerprint recognition by combining global structure and local cues.

Full Abstract

As an important feature, orientation field describes the global structure of fingerprints. It provides robust discriminatory information other than traditional widely-used minutiae points. However, there are few works explicitly incorporating this information into fingerprint matching stage, partly due to the difficulty of saving the orientation field in the feature template. In this paper, we propose a novel representation for fingerprints which includes both minutiae and model-based orientation field. Then, fingerprint matching can be done by combining the decisions of the matchers based on the global structure (orientation field) and the local cue (minutiae). We have conducted a set of experiments on large-scale databases and made thorough comparisons with the state-of-the-arts. Extensive experimental results show that combining these local and global discriminative information can largely improve the performance. The proposed system is more robust and accurate than conventional minutiae-based methods, and also better than the previous works which implicitly incorporate the orientation information. In this system, the feature template takes less than 420 bytes, and the feature extraction and matching procedures can be done in about 0.30 s. We also show that the global orientation field is beneficial to the alignment of the fingerprints which are either incomplete or poor-qualitied.

Learn Faster Today Improve your study skills

Author information

Author/s: Gu, Jinwei (J); Zhou, Jie (J); Yang, Chunyu (C);

Affiliation: Department of Automation, Tsinghua University, Beijing, China. gujinwei98(-atsign-)mails.tsinghua.edu.cn

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (IEEE Trans Image Process), published in United States. (Language: eng)

Reference: 2006-Jul; vol 15 (issue 7) : pp 1952-64

Dates: Created 2006/07/11; Completed 2006/08/08; Revised 2006/11/15;

PMID: 16830915, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

External Links for this article (including full text providers, if available):

Click Electronic Full-text Provider Links to see options for finding the electronic full text links to this article. Note there may be a subscription or fee required for access to the full text. See our FAQ for information on finding FREE full text articles.

This article may also be located in paper journal collections available in many libraries. Use the Journal and Publication Information above to find the full article.

MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Algorithms
Artificial Intelligence
Biometry - methods
Cues
Dermatoglyphics
Fingers - anatomy & histology
Humans
Image Enhancement - methods

Image Interpretation, Computer-Assisted - methods
Information Storage and Retrieval - methods
Models, Biological
Pattern Recognition, Automated - methods
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Subtraction Technique

These are the highest related articles currently in the database:

Glove-based approach to online signature verification. 30 May 2008
Recognition of living fingers with a sensor based on scattered-light detection. 18 Jan 2006
Fingerprint matching based on global comprehensive similarity. 30 May 2006
Shape-based hand recognition. 29 Jun 2006
Mixed group ranks: preference and confidence in classifier combination. 30 Jul 2004
Large-scale evaluation of multimodal biometric authentication using state-of-the-art systems. 27 Feb 2005
Improved fingerprint identification with supervised filtering enhancement. 8 Feb 2005
New automated iris image acquisition method. 8 Feb 2005
Kernel machine-based one-parameter regularized fisher discriminant method for face recognition. 30 Jul 2005
A biometric identification system based on eigenpalm and eigenfinger features. 30 Oct 2005

See 100+ related articles.