Iris recognition using scattering transform and textural features

Shervin Minaee; Amirali Abdolrashidi; Yao Wang

doi:10.1109/DSP-SPE.2015.7369524

Iris recognition using scattering transform and textural features

Shervin Minaee, Amirali Abdolrashidi, Yao Wang

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Iris recognition has drawn a lot of attention since the mid-twentieth century. Among all biometric features, iris is known to possess a rich set of features. Different features have been used to perform iris recognition in the past. In this paper, two powerful sets of features are introduced to be used for iris recognition: scattering transform-based features and textural features. PCA is also applied on the extracted features to reduce the dimensionality of the feature vector while preserving most of the information of its initial value. Minimum distance classifier is used to perform template matching for each new test sample. The proposed scheme is tested on a well-known iris database, and showed promising results with the best accuracy rate of 99.2%.

Original language	English (US)
Title of host publication	2015 IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	37-42
Number of pages	6
ISBN (Electronic)	9781467391696
DOIs	https://doi.org/10.1109/DSP-SPE.2015.7369524
State	Published - Dec 30 2015
Event	IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015 - Salt Lake City, United States Duration: Aug 9 2015 → Aug 12 2015

Publication series

Name	2015 IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015

Other

Other	IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015
Country/Territory	United States
City	Salt Lake City
Period	8/9/15 → 8/12/15

ASJC Scopus subject areas

Signal Processing
Education

Access to Document

10.1109/DSP-SPE.2015.7369524

Cite this

Minaee, S., Abdolrashidi, A., & Wang, Y. (2015). Iris recognition using scattering transform and textural features. In 2015 IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015 (pp. 37-42). Article 7369524 (2015 IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSP-SPE.2015.7369524

Iris recognition using scattering transform and textural features. / Minaee, Shervin; Abdolrashidi, Amirali; Wang, Yao.
2015 IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 37-42 7369524 (2015 IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Minaee, S, Abdolrashidi, A & Wang, Y 2015, Iris recognition using scattering transform and textural features. in 2015 IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015., 7369524, 2015 IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015, Institute of Electrical and Electronics Engineers Inc., pp. 37-42, IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015, Salt Lake City, United States, 8/9/15. https://doi.org/10.1109/DSP-SPE.2015.7369524

Minaee S, Abdolrashidi A, Wang Y. Iris recognition using scattering transform and textural features. In 2015 IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 37-42. 7369524. (2015 IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015). doi: 10.1109/DSP-SPE.2015.7369524

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Iris recognition using scattering transform and textural features

Abstract

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