A Review: Personal Identification Based on Palm Vein Infrared Pattern
Keywords:Biometric Traits, Palm Vein, Preprocessing, Feature Extraction,
AbstractPalm vein recognition is the latest biometrics technique used and researches currently. This method achieved high performance in identification due to the complexity of vein pattern on the palm. This studies proposed a review of overall process of vein recognition and vein recognition techniques. In particular, this studies is systematically described in three parts which is vein image acquisition and preprocessing, feature extraction and decision matching. According to the available work, various approaches for different kind of features extractions, palm vein segmentation and overall process will be discussed in this paper.
Xu, J. An online biometric identification system based on two dimensional fisher linear discriminant. (2015) 774–778.
Wang, J.-G., Yau, W.-Y. & Suwandy, A. Fusion of palmprint and palm vein images for person recognition based on Laplacianpalm’’ Feature. Int. Conf. Signal Process. Proceedings, ICSP 2015–Janua, (2015) 2407–2410.
Lee, J. C. A novel biometric system based on palm vein image. Pattern Recognit. Lett. 33, (2012) 1520–1528.
Palmprint, C. M. & Database, I. Note on CASIA Multi-Spectral Palmprint Database. 1–4
PolyU multispectral palmprint database. Available at: http://www.comp.polyu.edu.hk/~biometrics/%0AMultispectralPalmpr int/MSP.htm.
PUT vein database. Available at: http://biometrics.put.poznan.pl/veindataset.
Zhou, Y. & Kumar, A. Human identification using palm-vein images. IEEE Trans. Inf. Forensics Secur. 6, (2011) 1259–1274.
Hao, Y., Sun, Z., Tan, T. & Ren, C. Multispectral palm image fusion for accurate contact-free palmprint recognition. in 2008 15th IEEE International Conference on Image Processing (IEEE, 2008) 281–284.
Zhang, Y.-B., Li, Q., You, J. & Bhattacharya, P. Palm vein extraction and matching for personal authentication. in International Conference on Advances in Visual Information Systems (Springer, 2007) 154–164.
Kang, W., Liu, Y., Wu, Q. & Yue, X. Contact-free palm-vein recognition based on local invariant features. 9, (2014).
Rahul, R. C. & Cherian, M. A novel MF-LDTP approach for contactless palm vein recognition. (2015) 793–798.
Perwira, D. Y. Personal Palm Vein Identification Using Principal Component Analysis and Probabilistic Neural Network. (2014) 24–27.
Michael, G. K. O., Connie, T. & Teoh, A. B. J. Touch-less palm print biometrics: Novel design and implementation. Image Vis. Comput. 26, (2008) 1551–1560.
Kang, W. & Wu, Q. Contactless palm vein recognition using a mutual foreground-based local binary pattern. IEEE Trans. Inf. Forensics Secur. 9, (2014) 1974–1985.
Zhang, D., Kong, W.-K., You, J. & Wong, M. Online palmprint identification. IEEE Trans. Pattern Anal. Mach. Intell. 25, (2003) 1041–1050.
Daugman, J. G. High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. Pattern Anal. Mach. Intell. 15, (1993) 1148–1161.
Han, W. Y. & Lee, J. C. Palm vein recognition using adaptive Gabor filter. Expert Syst. Appl. 39, (2012) 13225–13234.
Miura, N., Nagasaka, A. & Miyatake, T. Feature extraction of fingervein patterns based on repeated line tracking and its application to personal identification. Mach. Vis. Appl. 15, (2004) 194–203.
Miura, N., Nagasaka, A. & Miyatake, T. Extraction of finger-vein patterns using maximum curvature points in image profiles. IEICE Trans. Inf. Syst. 90, (2007) 1185–1194.
Kang, W. X. & Deng, F. Q. Vein image enhancement and segmentation based on maximal intra-neighbor difference. Acta Opt Sin 29, (2009) 1830–1837.
Ojala, T., Pietikainen, M. & Maenpaa, T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24, (2002) 971–987.
Lu, W., Li, M. & Zhang, L. Palm vein recognition using directional features derived from local binary patterns. 9, (2016) 87–98.
Mirmohamadsadeghi, L. & Drygajlo, A. Palm vein recognition with local binary patterns and local derivative patterns. 2011 Int. Jt. Conf. Biometrics, IJCB 2011 (2011).
Akbar, A. F., Wirayudha, T. A. B. & Sulistiyo, M. D. Palm vein biometric identification system using local derivative pattern. 2016 4th Int. Conf. Inf. Commun. Technol. 4, (2016) 1–6.
Rivera, A. R., Castillo, J. R. & Chae, O. Local directional texture pattern image descriptor. Pattern Recognit. Lett. 51, (2015) 94–100.
Saxena, J., Tec, K., Travieso, C. M. & Alonso-hernández, B. Palm Vein Recognition using Local Teetra Patterns. (2015) 151–156.
Ladoux, P.-O., Rosenberger, C. &Dorizzi, B. Palm vein verification system based on SIFT matching. in International Conference on Biometrics (Springer, 2009) 1290–1298.
Gurunathan, V., Sathiyapriya, T. &Sudhakar, R. Multimodal biometric recognition system using SURF algorithm. 2016 10th Int. Conf. Intell. Syst. Control (2016) 1–5.
Mikolajczyk, K. &Schmid, C. A performance evaluation of local descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 27, (2005) 1615– 1630.
Lowe, D. G. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60, (2004) 91–110.
Yan, X., Deng, F. &Kang, W. Palm vein recognition based on multialgorithm and score-level fusion. Proc. - 2014 7th Int. Symp. Comput. Intell. Des. Isc. 2014 1, (2015) 441–444.
Bayoumi, S. et al. PCA-based palm vein authentication system. 2013 Int. Conf. Inf. Sci. Appl. ICISA 2013 (2013).
Liu, J., Cui, J., Xue, D. & Jia, X. Palm-dorsa vein recognition based on independent principle component analysis. 2011 Int. Conf. Image Anal. Signal Process. 660–664 (2011).
Elnasir, S. & Shamsuddin, S. M. Proposed scheme for palm vein recognition based on Linear Discrimination Analysis and nearest neighbour classifier. Proc. - 2014 Int. Symp. Biometrics Secur. Technol. ISBAST 2014 (2015) 67–72.
Elnasir, S. & Shamsuddin, S. M. Palm vein recognition based on 2Ddiscrete wavelet transform and linear discrimination analysis. Int. J. Adv. Soft Comput. its Appl. 6, (2014) 43–59.
Xu, J. Palm vein identification based on partial least square. 1, (2015) 575–579.
Zhou, Y. et al. Palm-vein classification based on principal orientation features. PLoS One 9, (2014) 1–12.
You, J., Li, W. & Zhang, D. Hierarchical palmprint identification via multiple feature extraction. Pattern Recognit. 35, (2002) 847–859.
Manmohan et al. Palm vein recognition using local tetra patterns. IWOBI 2015 - 2015 Int. Work Conf. Bio-Inspired Intell. Intell. Syst. Biodivers. Conserv. Proc. (2015) 151–156.
Ladoux, P. O., Rosenberger, C. & Dorizzi, B. Palm vein verification system based on SIFT matching. Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics) 5558 LNCS, (2009) 1290–1298.
Huang, D.-S., Jia, W. & Zhang, D. Palmprint verification based on principal lines. Pattern Recognit. 41, (2008) 1316–1328.
Lu, G.-M., Wang, K.-Q. & Zhang, D. Wavelet based independent component analysis for palmprint identification. in Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on 6, (IEEE, 2004) 3547–3550.
Lu, G., Zhang, D. & Wang, K. Palmprint recognition using eigenpalms features. Pattern Recognit. Lett. 24, (2003) 1463–1467.
Wu, X., Wang, K. & Zhang, D. A novel approach of palm-line extraction. in Image and Graphics (ICIG’04), Third International Conference on 230–233 (IEEE, 2004).
Wu, X., Wang, K. & Zhang, D. Palmprint recognition using directional line energy feature. in Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on 4, (IEEE, 2004) 475–478.
Wu, X., Zhang, D. & Wang, K. Fisherpalms based palmprint recognition. Pattern Recognit. Lett. 24, (2003) 2829–2838.
Zhou, X., Peng, Y. & Yang, M. Palmprint recognition using wavelet and support vector machines. in Pacific Rim International Conference on Artificial Intelligence (Springer, 2006) 385–393.
Wu, X., Wang, K. & Zhang, D. in Biometric Authentication (Springer, 2004) 775–781.
Michael, G., Connie, T., Teoh, A., Connie, T. & Teoh, A. A contactless biometric system using palm print and palm vein features. Image (Rochester, N.Y.) (2011).
Watanabe, M. & Endoh, T. Palm vein authentication technology and its applications. Proc. (2005) 4–5.
How to Cite
TRANSFER OF COPYRIGHT AGREEMENT
The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):
- All proprietary right other than copyright, such as patent rights
- The right to make further copies of all or part of the published article for my use in classroom teaching
- The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
- The right to make copies of the published work for internal distribution within the institution that employs me
I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.