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Online palmprint identification
Open accessAbstract
Biometrics-based personal identification is regarded as an effective method for automatically recognizing, with a high confidence, a person's identity. This paper presents a new biometric approach to online personal identification using palmprint technology. In contrast to the existing methods, our online palmprint identification system employs low-resolution palmprint images to achieve effective personal identification. The system consists of two parts: a novel device for online palmprint image acquisition and an efficient algorithm for fast palmprint recognition. A robust image coordinate system is defined to facilitate image alignment for feature extraction. In addition, a 2D Gabor phase encoding scheme is proposed for palmprint feature extraction and representation. The experimental results demonstrate the feasibility of the proposed system.
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Cited by
Zhang, B., Shan, S., Chen, X., & Gao, W. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.884956 · Cited by 580
An Online System of Multispectral Palmprint Verification
Zhang, D., Guo, Z., Lu, G., Zhang, L., & Zuo, W. (2010) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2009.2028772 · Cited by 499
Self-citationFusing local patterns of Gabor magnitude and phase for face recognition
Xie, S., Shan, S., Chen, X., & Chen, J. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2041397 · Cited by 395
Zhang, L., Li, L., Yang, A., Shen, Y., & Yang, M. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.04.016 · Cited by 294
Feature Extraction Methods for Palmprint Recognition: A Survey and Evaluation
Fei, L., Lu, G., Jia, W., Teng, S., & Zhang, D. (2019) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2018.2795609 · Cited by 228
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Metadata
- Authors
- Zhang, D., Kong, W.-K., You, J., & Wong, M.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2003-09
- Volume
- 25
- Issue
- 9
- Pages
- 1041-1050
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2114214092
- Cited by
- 1,506
- References
- 0
- FWCI
- 48.64
- Type
- journal article
- Language
- en
- Open access
- green
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