The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Personal identification based on iris texture analysis
Abstract
With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention over the past decade. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This paper focuses on the last issue and describes a new scheme for iris recognition from an image sequence. We first assess the quality of each image in the input sequence and select a clear iris image from such a sequence for subsequent recognition. A bank of spatial filters, whose kernels are suitable for iris recognition, is then used to capture local characteristics of the iris so as to produce discriminating texture features. Experimental results show that the proposed method has an encouraging performance. In particular, a comparative study of existing methods for iris recognition is conducted on an iris image database including 2,255 sequences from 213 subjects. Conclusions based on such a comparison using a nonparametric statistical method (the bootstrap) provide useful information for further research.
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Cites
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A human identification technique using images of the iris and wavelet transform
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Cited by
Image understanding for iris biometrics: A survey
Bowyer, K. W., Hollingsworth, K., & Flynn, P. J. (2008) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2007.08.005 · Cited by 907
A review of biometric technology along with trends and prospects
Unar, J. A., Seng, W. C., & Abbasi, A. (2014) · Pattern Recognition · doi:10.1016/j.patcog.2014.01.016 · Cited by 404
From BoW to CNN: Two Decades of Texture Representation for Texture Classification
Liu, L., Chen, J., Fieguth, P., Zhao, G., Chellappa, R., & Pietikäinen, M. (2019) · International Journal of Computer Vision · doi:10.1007/s11263-018-1125-z · Cited by 375
Secure and Robust Iris Recognition Using Random Projections and Sparse Representations
Pillai, J. K., Patel, V. M., Chellappa, R., & Ratha, N. K. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.34 · Cited by 324
Metadata
- Authors
- Ma, L., Tan, T., Wang, Y., & Zhang, D.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2003-12
- Volume
- 25
- Issue
- 12
- Pages
- 1519-1533
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2008338741
- Cited by
- 960
- References
- 24
- FWCI
- 47.35
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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