Date of Publication :14th February 2018
Abstract: Palm vein include extraction from close to infrared images is a difficult problem in hand pattern recognition. In this paper, a promising new methodology dependent on neighborhood texture designs is proposed. To begin with, operator s and histograms of multi-scale Local Binary Patterns (LBPs) are explored so as to distinguish new effective descriptors for palm vein designs. Novel higher-order neighborhood design descriptors that are based on Local Derivative Pattern (LDP) histograms are then examined for palm vein depiction. Both feature extraction techniques are thought about and assessed in the system of verification and identification tasks. Broad probes CASIA Multi-Spectral Palm-print Image Database Vl.O(CASIA database) distinguish the LBP and LDP descriptors which are better adjusted to palm vein texture. In this paper, tests on the CASIA datasets likewise show that the best adjusted LDP descriptors reliably beat their LBP partners in both palm vein identification and verification
Reference :
-
- T. Ahonen, A. Hadid, and M. Pietik??inen, “Face recognition with local binary patterns,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), 2004.
- T. Ahonen, A. Hadid, and M. Pietikäinen, “Face description with local binary patterns: Application to face recognition,” IEEE Trans. Pattern Anal. Mach. Intell., 2006.
- E. C. Lee, H. C. Lee, and K. R. Park, “Finger vein recognition using minutia-based alignment and local binary pattern-based feature extraction,” Int. J. Imaging Syst. Technol., 2009.
- K. Wang, H. Ma, O. P., and J. Liu, “Finger vein recognition,” in Biometrics, 2011.
- Z. Liu, Y. Yin, H. Wang, S. Song, and Q. Li, “Finger vein recognition with manifold learning,” J. Netw. Comput. Appl., 2010.
- G. K. Ong Michael, T. Connie, and A. B. Jin Teoh, “Touch-less palm print biometrics: Novel design and implementation,” Image and Vision Computing. 2008.
- B. Zhang, Y. Gao, S. Zhao, and J. Liu, “Local derivative pattern versus local binary pattern: Face recognition with high-order local pattern descriptor,” IEEE Trans. Image Process., 2010.
- K. R. Park, “Multimodal biometric method that combines veins, prints, and shape of a finger,” Opt. Eng., 2011.
- E. C. Lee, H. Jung, and D. Kim, “New finger biometric method using near infrared imaging,” Sensors, 2011
- C. Shan, S. Gong, and P. W. McOwan, “Facial expression recognition based on Local Binary Patterns: A comprehensive study,” Image Vis. Comput., 2009.
- S Balamurugan, RP Shermy, Gokul Kruba Shanker, VS Kumar, VM Prabhakaran, “An Object Oriented Perspective of Context–Aware Monitoring Strategies for Cloud based Healthcare Systems”,Asian Journal of Research in Social Sciences and Humanities, Volume : 6, Issue : 8, 2016
- S Balamurugan, P Anushree, S Adhiyaman, Gokul Kruba Shanker, VS Kumar, “RAIN Computing: Reliable and Adaptable Iot Network (RAIN) Computing”, Asian Journal of Research in Social Sciences and Humanities, Volume : 6, Issue : 8, 2016
- V.M. Prabhakaran, Prof S.Balamurgan ,A.Brindha ,S.Gayathri ,Dr.GokulKrubaShanker,Duruvakkumar V.S, “NGCC: Certain Investigations on Next Generation 2020 Cloud Computing-Issues, Challenges and Open Problems,” Australian Journal of Basic and Applied Sciences (2015)
- Usha Yadav, Gagandeep Singh Narula, Neelam Duhan, Vishal Jain, “Ontology Engineering and Development Aspects: A Survey”, International Journal of Education and Management Engineering (IJEME), Hongkong, Vol. 6, No. 3, May 2016, page no. 9 – 19 having ISSN No. 2305-3623.
- Vishal Assija, Anupam Baliyan and Vishal Jain, “Effective & Efficient Digital Advertisement Algorithms”, CSI-2015; 50th Golden Jubilee Annual Convention on “Digital Life”, held on 02nd to 05th December, 2015 at New Delhi, published by the Springer under ICT Based Innovations, Advances in Intelligent Systems and Computing having ISBN 978-981-10-6602-3 from page no. 83 to 91.
- Vishal Jain and Dr. S. V. A. V. Prasad, “Analysis of RDBMS and Semantic Web Search in University System”, International Journal of Engineering Sciences & Emerging Technologies (IJESET), Volume 7, Issue 2, October 2014, page no. 604-621 having ISSN No. 2231-6604.