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Significance of Being Unique from Finger Patterns: Exploring Hybrid Near-infrared Finger Vein and Finger Dorsal Patterns in Verifying Human Identities

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Biometric Recognition (CCBR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9428))

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Abstract

Automated biometrics identification using finger vein images has increasingly generated interests among researchers with emerging applications in human biometrics. Prior efforts in the biometrics literature have only investigated the near-infrared finger patterns which only consist of finger vein patterns. This paper investigates the possible usage of finger patterns to which finger dorsal texture information is added i.e. hybrid patterns. Including both the information of finger vein and finger dorsal textures, the hybrid patterns can be used as independent biometric patterns. A completely automated approach for the hybrid finger patterns is developed with key steps for region of interest segmentation, images normalization, feature extraction and robust matching. This paper also introduces an available hybrid finger pattern database from 126 different subjects. The efforts to develop automated hybrid finger pattern matching scheme achieve promising results and provide new insights on the finger pattern identification.

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References

  1. Miura, N., Nagasaka, A., Miyatake, T.: Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification. Machine Vision and Applications 15(4), 194–203 (2004)

    Article  Google Scholar 

  2. Miura, N., Nagasaka, A., Miyatake, T.: Extraction of finger-vein patterns using maximum curvature points in image profiles. IEICE TRANSACTIONS on Information and Systems 90(8), 1185–1194 (2007)

    Article  Google Scholar 

  3. Yang, W., Huang, X., Zhou, F., et al.: Comparative competitive coding for personal identification by using finger vein and finger dorsal texture fusion. Information Sciences 268, 20–32 (2014)

    Article  Google Scholar 

  4. Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. Pattern Analysis and Machine Intelligence, IEEE Transactions on 24(7), 971–987 (2002)

    Article  Google Scholar 

  5. Kong, A.W.K, Zhang, D.: Competitive coding scheme for palmprint verification. In: Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. IEEE, vol. 1, pp. 520–523 (2004)

    Google Scholar 

  6. Kumar, A., Zhou, Y.: Human identification using finger images. IEEE Transactions on Image Processing 21(4), 2228–2244 (2012)

    Article  MathSciNet  Google Scholar 

  7. Kumar, A.: Importance of being unique from finger dorsal patterns: Exploring Minor Finger Knuckle Patterns in verifying Human Identities (2014)

    Google Scholar 

  8. Yang, W., Qin, C., Liao, Q.: A Database with ROI Extraction for Studying Fusion of Finger Vein and Finger Dorsal Texture. In: Sun, Z., Shan, S., Sang, H., Zhou, J., Wang, Y., Yuan, W. (eds.) CCBR 2014. LNCS, vol. 8833, pp. 266–270. Springer, Heidelberg (2014)

    Google Scholar 

  9. Chaudhuri, S., Chatterjee, S., Katz, N., et al.: Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Transactions on medical imaging 8(3), 263–269 (1989)

    Article  Google Scholar 

  10. Yang, W., Rao, Q., Liao, Q.: Personal identification for single sample using finger vein location and direction coding. In: 2011 International Conference on Hand-Based Biometrics (ICHB). IEEE, pp. 1–6 (2011)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Shenzhen Key Lab. of Information Sci&Tech, Graduate School at Shenzhen, Tsinghua University, Beijing, China

    Wenming Yang, Wenyang Ji & Qingmin Liao

Authors
  1. Wenming Yang
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  2. Wenyang Ji
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  3. Qingmin Liao
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Corresponding author

Correspondence to Wenyang Ji .

Editor information

Editors and Affiliations

  1. Civil Aviation University of China, Tianjin, China

    Jinfeng Yang

  2. and Technology, Tianjin Institute of Science, Tianjin, China

    Jucheng Yang

  3. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Zhenan Sun

  4. Chinese Academy of Sciences, Beijing, China

    Shiguang Shan

  5. Sun Yat-sen University, Guangzhou, China

    Weishi Zheng

  6. Tsinghua University, Beijing, China

    Jianjiang Feng

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© 2015 Springer International Publishing Switzerland

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Yang, W., Ji, W., Liao, Q. (2015). Significance of Being Unique from Finger Patterns: Exploring Hybrid Near-infrared Finger Vein and Finger Dorsal Patterns in Verifying Human Identities. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_62

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  • DOI: https://doi.org/10.1007/978-3-319-25417-3_62

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25416-6

  • Online ISBN: 978-3-319-25417-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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