Iris recognition based on robust iris segmentation and image enhancement

Document Type

Article

Publication Date

1-1-2012

Abstract

A new iris recognition method based on a robust iris segmentation approach is presented in this paper for improving iris recognition performance. The robust iris segmentation approach applies power-law transformations for more accurate detection of the pupil region, which significantly reduces the candidate limbic boundary search space for increasing detection accuracy and efficiency. The limbic circle having a centre within close range of the pupil centre is selectively detected, and the eyelid detection approach thus leads to improved iris recognition performance. Experiments using the Iris Challenge Evaluation (ICE) database show the effectiveness of the proposed method. © 2012 Inderscience Enterprises Ltd.

Identifier

84863177229 (Scopus)

Publication Title

International Journal of Biometrics

External Full Text Location

https://doi.org/10.1504/IJBM.2012.044295

e-ISSN

1755831X

ISSN

17558301

First Page

56

Last Page

76

Issue

1

Volume

4

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