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Survey on Multimodal Biometric Authentication Combining Fingerprint and Finger Vein

by T. Sheeba, M. Justin Bernard
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 51 - Number 5
Year of Publication: 2012
Authors: T. Sheeba, M. Justin Bernard
10.5120/8042-1358

T. Sheeba, M. Justin Bernard . Survey on Multimodal Biometric Authentication Combining Fingerprint and Finger Vein. International Journal of Computer Applications. 51, 5 ( August 2012), 55-60. DOI=10.5120/8042-1358

@article{ 10.5120/8042-1358,
author = { T. Sheeba, M. Justin Bernard },
title = { Survey on Multimodal Biometric Authentication Combining Fingerprint and Finger Vein },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 51 },
number = { 5 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 55-60 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume51/number5/8042-1358/ },
doi = { 10.5120/8042-1358 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:49:39.290300+05:30
%A T. Sheeba
%A M. Justin Bernard
%T Survey on Multimodal Biometric Authentication Combining Fingerprint and Finger Vein
%J International Journal of Computer Applications
%@ 0975-8887
%V 51
%N 5
%P 55-60
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multimodal biometric systems have been widely used to overcome the limitations of unimodal biometric systems and to achieve high recognition accuracy. Among various multimodality options, fingerprint and finger vein has gained much attention among researchers to combine accuracy, universality and cost efficiency of the solution. This study proposes a survey of multimodal fingerprint and finger vein recognition techniques. Most of the existing work is systematically described and compared in five parts, i. e. , fingerprint and finger vein image acquisition, preprocessing, feature extraction, feature matching and fusion. According to the available work in literatures and commercial utilization experiences, fingerprint and finger vein multimodality ensures higher performance and spoofing resistance. This multimodal technology has reached an unparalleled level of security, accuracy and performance.

References
  1. Hatim A. Aboal samh, "A Multi Biometric System Using Combined Vein and Fingerprint Identification", International Journal of Circuits, Systems and Signal Processing, pp 29-36, Issue 1, Volume 5, 2011.
  2. The VP Series: The First Ever Multimodal Finger vein and Fingerprint Devices, "http://www. ifsec. co. uk/ExhibitorLibrary/135/Triptyque_HD_3. pdf", accessed June 2012.
  3. Chaitanya Kommini, Srinivasulu Asadi, Kamalesh Ellanti,"Scale and Rotation Independent Fingerprint Recognition", (IJCSIT) International Journal of Computer Science and Information Technologies, 1764-1773, Vol. 2 (4), 2011.
  4. Arunkumar. V, Malathy. C, "MULTIMODAL BIOMETRICS BY FUSION OF FINGER VEIN AND FINGER PRINT IMAGES", Proceedings of the 4th National Conference; INDIACom-2010.
  5. Hao Luo, Fa-Xin Yu, Jeng-Shyang Pan, Shu-Chuan Chu and Pei-Wei Tsai," A Survey of Vein Recognition Techniques" Information Technology Journal 9(6): 1142-1149, ISSN 1812-5638, 2010.
  6. H. C Lee, K. R Park, B. J Kang, S. J Park, "A New Mobile Multimodal Biometric Device Integrating Finger Vein and Fingerprint Recognition", IEEE,2009.
  7. Y. H Park, D. N Tien, H. C Lee, K. R Park, E. C Lee, S. M Kim, H. C Kim,"A Multimodal Biometric Recognition of Touched Fingerprint and Finger-vein", International Conference on Multimedia and Signal Processing, IEEE,2011.
  8. Bhupesh Gour, T. K. Bandopadhyaya, Sudhir Sharma," Fingerprint Feature Extraction Using Midpoint ridge Contour method and Neural Network", IJCSNS International Journal of Computer Science and Network Security, Vol. 8 No. 7, July 2008.
  9. B. Y. Hiew, Andrew B. J. Teoh and Y. H. Pang, "Digital Camera based Fingerprint Recognition", IEEE International conference on Telecommunications and Malaysia International Conference on Communications, pp. 676-680, 2007.
  10. M. Kaur, M. Singh, A. Girdhar, and P. S. Sandhu, "Fingerprint verification System using Minutiae Extraction Technique", World Academy of Science, Engineering and Technology,46, pp 497-502, 2008.
  11. Pravesh Kumar, "Use of Fuzzy Set and Neural Network to Extract Fingerprint Minutiae Points and Location", Thesis, 2009.
  12. Atanu Chatterjee, Shuvankar Mandal, G. M. Atiqur Rahaman and Abu Shamim Mohammed Arif,"Fingerprint Identification and Verification System by Minutiae Extraction Using Artificial Neural Network", JCIT, ISSN 2078-5828 (PRINT), ISSN 2218-5224 (ONLINE), Volume 01, Issue 01, 2010.
  13. B. Shanmuga Priya, R. Rajesh," A Note on Fingerprint Recognition Systems", 978-1-4244-8679-3/11/, IEEE, 2011.
  14. D. Bennet and Dr. S. Arumuga Perumal, "Fingerprint: DWT, SVD Based Enhancement and Significant Contrast for Ridges and Valleys Using Fuzzy Measures" Journal of Computer Science and Engineering, Volume 6, Issue 1, March 2011.
  15. Li Xueyan Guo Shuxu Gao Fengli, Li Ye," Vein Pattern Recognitions by Moment invariants", IEEE, 2007.
  16. N. Miura, A. Nagasaka, T. Miyatake,"Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification", Machine Vision and Applications, pp 194-203, 2004.
  17. Z. Lian, Z. Rui and C. B. Yu, "Study on the Identity Authentication System on Finger Vein", in International Conference on Bioinformatics and Biomedical Engineering. IEEE, pp. 1905-1907, 2008.
  18. Jinfeng Yang, Yihua Shi, Jinli Yang, Lihui Jiang," A NOVEL FINGER-VEIN RECOGNITION METHOD WITH FEATURE COMBINATION", IEEE, 2009.
  19. Cheng-Bo Yu, Hua-Feng Qin, Lian Zhang, Yan-Zhe Cui, "Finger-vein image recognition combining modified hausdorff distance with minutiae feature matching", J. Biomedical Science and Engineering, 2, 261-272, 2009.
  20. Hyeon Chang LEE1, Byung Jun KANG2, Eui Chul LEE3, Kang Ryoung PARK," Finger vein recognition using weighted local binary pattern code based on a support vector machine", Journal of Zhejiang University-SCIENCE C (Computers & Electronics), 11(7):514-524, 2010.
  21. Md. Mamunur Rashid and Aktar Hossain, A. K. M. , "Fingerprint Verification System Using Artificial Neural Network", (ISSIN 1812-5638) Information Technology Journal 5(6): 1063-1067, 2006.
  22. Dhruv Batra, Girish Singhal and Santanu Chaudhury, "Gabor Filter based Fingerprint Classification using support Vector Machines", IEEE India Annual conference, pp. 256-260, 2004.
  23. Idris. E. -Feghi, Adel. Tahar, Hosain Aboasha, Zhijie Xu," Efficient Features Extraction for Fingerprint Classification with Multi Layer Perceptron Neural Network", 8th International Multi-Conference on Systems, Signals & Devices, 2011.
  24. M. ANTOWIAK and K. CHALASINSKA-MACUKOW,"Fingerprint identification by using artificial neural network with optical wavelet preprocessing", OPTO-ELECTRONICS REVIEW 11(4), 327-337, 2003.
  25. Avinash Pokhriyal, Sushma Lehri," A new method of fingerprint authentication using 2D wavelets", Journal of Theoretical and Applied Information Technology, Vol. 13 No. 2 March, pp (131 - 138), 2010.
  26. Naoto Miura, Akio Nagasaka, Takafumi Miyatake, "Feature Extraction of Finger Vein Patterns Based on Iterative Line Tracking and Its Application to Personal Identification", System and Computers in Japan, vol. 35, No. 7, 2004.
  27. M. Kono, H. Ueki, and S. Umemura, "Near-Infrared Finger Vein Patterns for Personal Identification," Applied Optics, vol. 41, pp. 7429-7436, 2002.
  28. N. Miura, A. Nagasaka and T. Miyatake, "Extraction of Finger Vein Patterns Using Maximum Curvature Points in Image Profiles", IEICE-Transactions on Information and Systems, pp. 185-1194, 2007.
  29. K. Wang and Z. Yuan, "Finger Vein Recognition Based on Wavelet Moment Fused with PCA Transform", Pattern Recognition and Artificial Intelligence (in Chinese). Vol. 20, No. 5, pp. 692-697, 2007.
  30. Z. Zhang, S. Ma and X. Han, "Multiscale Feature Extraction of Finger-Vein Patterns Based on Curvelets and Local Interconnection Structure Neural Network", in International Conference on Pattern Recognition. IEEE, pp. 145-148, 2006.
  31. MEI Cong-li, XIAO Xiao, LIU Guo-hai, CHEN Yu, LI Qian-an, "Feature Extraction of Finger-vein Image Based on Morphologic Algorithm", Sixth International Conference on Fuzzy Systems and Knowledge Discovery, IEEE, 2009.
  32. Choi, J. H. , Song, W. S. , Kim, T. J. , Lee, S. R. , Kim, H. C. , "Finger vein extraction using gradient normalization and principal curvature. SPIE, 7251:1-9, 2009.
  33. Jang, Y. K. , Kang, B. J. , Park, K. R. , "A study on touchless finger vein recognition robust to the alignment and rotation of finger". KIPS Trans. Part B, 15-B (4):275-284, 2008.
  34. Lee, E. C. , Lee, H. C. , Park, K. R. , "Finger vein recognition by using minutia based alignment and local binary pattern- based feature extraction". Int. J. Imag. Syst. Technol. , 19(3):179-186, 2009.
  35. Ching-Tang Hsieh, Shys-Rong Shyu, "Principal Component analysis for Minutiae Verification on Fingerprint Image", Proc. Of International Conference on Multimedia Systems & Signal Processing", pp. 45-49, 2007.
  36. LI Xiangrong WANG Guohui, LU Xiangjiang, "Neural Network Based Automatic Fingerprints Classification Algorithm" IEEE, 2010.
  37. P. M. Gomathi, Dr. G. M. Nasira,"A Survey on Biometrics based Key Authentication using Neural Network" Global Journal of Computer Science and Technology" Volume 11, Issue 11, Version 1. 0, July 2011.
  38. Florina Muntenescu, "Fingerprint Matching on Small Images", STUDIA UNIV. BABES_BOLYAI, INFORMATICA, Volume LIV, Number 1, 2009.
  39. Jianjiang Feng, "Combining minutiae descriptors for fingerprint matching" Pattern Recognition, 342 – 352, 2008.
  40. RAVI. J, K. B. RAJA, VENUGOPAL. K. R, "FINGERPRINT RECOGNITION USING MINUTIA SCORE MATCHING", International Journal of Engineering Science and Technology, Vol. 1(2), 35-42, 2009.
  41. Ashish Mishra,"Multimodal Biometrics it is: Need for Future Systems", International Journal of Computer Applications (0975 – 8887), Volume 3 – No. 4, June 2010.
  42. AKunming Lin, Fengling Han, Yongming Yang and Zulong Zhang," Feature Level Fusion of Fingerprint and Finger Vein Biometrics", Springer-Veriag Berlin Heidelberg, pp. 348 – 355, 2011.
  43. WANG Ke-jun, MA Hui, LI Xue-feng,"Research on dual-modal second-level decision fusion for fingerprint and finger vein recognition", Control and Decision, Vol. 26 No. 8, Aug. 2011.
  44. Feifei CUI, Gongping YANG," Score Level Fusion of Fingerprint and Finger Vein Recognition", Journal of Computational Information Systems, 5723-5731, December, 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Biometric Authentication Multimodal Biometrics Fingerprint Recognition Finger-vein Recognition

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