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Fast Iris localization using Haar-like features and AdaBoost algorithm

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Abstract

Traditional iris recognition methods, which are still preferred against artificial intelligence (AI) approaches in practical applications, are often required to capture high-grade iris samples by an iris scanner for accurate subsequent processing. To reduce the system cost for mass deployment of iris recognition, pricey scan devices can be replaced by the average quality cameras combined with additional processing algorithm. In this paper, we propose a Haar-like-feature-based iris localization method to quickly detect the location of human iris in the images captured by low-cost cameras for the ease of post-processing stages. The AdaBoost algorithm was chosen as a learning method for training a cascade classifier using Haar-like features, which was then utilized to detect the iris position. The experimental results have shown acceptable accuracy and processing speed for this novel cascade classifier. This achievement stimulates us to implement this novel capturing device in our iris recognition.

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Acknowledgements

The authors are very grateful to the anonymous reviewers for their constructive comments which have improved the quality of this paper. Also, this work was supported by the Ministry of Science and Technology, Taiwan, under grant MOST 107-2221-E-845-001-MY3 and MOST 107-2221-E-845- 002-MY3.

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Authors and Affiliations

  1. Department of Electronic Engineering, Ming Chi University of Technology, 84, Gongzhuan Rd., Taishan Dist., New Taipei, 243, Taiwan

    Yi-Nan Lin, Tsang-Yen Hsieh, Jr-Jen Huang & Hai Hoang Bui

  2. Department of Computer Science, University of Taipei, 1, Ai-Kao W. Rd., Taipei, 100, Taiwan

    Cheng-Ying Yang

  3. Department of Computer Science and Information Engineering, National Taipei University, 151, University Rd., Sanhsia District, New Taipei City, 237, Taiwan

    Victor R. L. Shen

  4. Department of Information Management, Chaoyang University of Technology, 168, Jifeng E. Rd., Wufeng District, Taichung City, 413, Taiwan

    Victor R. L. Shen

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  1. Yi-Nan Lin
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  2. Tsang-Yen Hsieh
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  5. Victor R. L. Shen
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Correspondence to Victor R. L. Shen.

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Lin, YN., Hsieh, TY., Huang, JJ. et al. Fast Iris localization using Haar-like features and AdaBoost algorithm. Multimed Tools Appl 79, 34339–34362 (2020). https://doi.org/10.1007/s11042-020-08907-5

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  • DOI: https://doi.org/10.1007/s11042-020-08907-5

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