The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
An Online System of Multispectral Palmprint Verification
Abstract
Palmprint is a unique and reliable biometric characteristic with high usability. With the increasing demand of highly accurate and robust palmprint authentication system, multispectral imaging has been employed to acquire more discriminative information and increase the antispoof capability of palmprint. This paper presents an online multispectral palmprint system that could meet the requirement of real-time application. A data acquisition device is designed to capture the palmprint images under Blue, Green, Red, and near-infrared (NIR) illuminations in less than 1 s. A large multispectral palmprint database is then established to investigate the recognition performance of each spectral band. Our experimental results show that the red channel achieves the best result, whereas the Blue and Green channels have comparable performance but are slightly inferior to the NIR channel. After analyzing the extracted features from different bands, we propose a score level fusion scheme to integrate the multispectral information. The palmprint verification experiments demonstrated the superiority of multispectral fusion to each single spectrum, which results in both higher verification accuracy and antispoofing capability.
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Cites
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Bohren, C. F., & Huffman, D. R. (1998) · doi:10.1002/9783527618156 · Cited by 18,474
Absorption and scattering of light by small particles
Barber, P. W. (1984) · Journal of Colloid and Interface Science · doi:10.1016/0021-9797(84)90512-5 · Cited by 2,482
Online palmprint identification
Zhang, D., Kong, W.-K., You, J., & Wong, M. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1227981 · Cited by 1,506
Self-citation(2006) · International Series on Biometrics · doi:10.1007/0-387-33123-9 · Cited by 1,189
The importance of being random: statistical principles of iris recognition
Daugman, J. (2003) · Pattern Recognition · doi:10.1016/s0031-3203(02)00030-4 · Cited by 951
The Resonant Retina: Exploiting Vibration Noise to Optimally Detect Edges in an Image
Zhang, D. D., Kong, W.-K., You, J., & Wong, M. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · Cited by 901
Self-citationCompetitive coding scheme for palmprint verification
Kong, A. W.-K., & Zhang, D. (2004) · Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. · doi:10.1109/icpr.2004.1334184 · Cited by 552
Self-citationLarge-scale evaluation of multimodal biometric authentication using state-of-the-art systems
Snelick, R., Uludag, U., Mink, A., Indovina, M., & Jain, A. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.57 · Cited by 516
Palmprint verification based on robust line orientation code
Jia, W., Huang, D.-S., & Zhang, D. (2008) · Pattern Recognition · doi:10.1016/j.patcog.2007.10.011 · Cited by 485
Self-citationPersonal authentication using palm-print features
Han, C.-C., Cheng, H.-L., Lin, C.-L., & Fan, K.-C. (2003) · Pattern Recognition · doi:10.1016/s0031-3203(02)00037-7 · Cited by 475
Cited by
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., Guo, Z., Lu, G., Zhang, L., & Zuo, W.
- Venue
- IEEE Transactions on Instrumentation and Measurement
- Published
- 2010-02
- Volume
- 59
- Issue
- 2
- Pages
- 480-490
- ISSN
- 0018-9456 (ISSN-L)
- 1557-9662
- OpenAlex
- W2144025519
- Cited by
- 499
- References
- 26
- FWCI
- 25.13
- Type
- journal article
- Language
- en
- Open access
- closed
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