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A Database with ROI Extraction for Studying Fusion of Finger Vein and Finger Dorsal Texture

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8833))

Abstract

In this paper, a database of finger vein(FV) and finger dorsal texture(FDT) region of interest(ROI) images named by THU-FVFDT2 is described in detail. The database is provided as an aid in studying fusion strategy of finger vein and finger dorsal texture images. Furthermore, on account of ROI extraction and manually coarse alignment during construction of the database, it facilitates using the database for research. Moreover, some algorithms of finger vein and finger dorsal texture authentication are tested in our database to ensure the reliability of the database and make research performed with the database as consistent and comparable as possible.

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References

  1. Kumar, A., Zhang, D.: Personal recognition using hand shape and texture. IEEE Transactions on Image Processing 15(8), 2454–2461 (2006)

    Article  Google Scholar 

  2. Yamada, S., Endoh, T.: Evaluation of independence between palm vein and fingerprint for multimodal biometrics. In: 2012 BIOSIG-Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG), pp. 1–4. IEEE (2012)

    Google Scholar 

  3. Joshi, H.D.: BIOMET: A Multimodal Biometric Authentication System for Person Identification and Verification using Fingerprint and Face Recognition. International Journal of Computer Applications 51 (2012)

    Google Scholar 

  4. Yang, J., Zhang, X.: Feature-level fusion of fingerprint and finger-vein for personal identification. Pattern Recognition Letters 33(5), 623–628 (2012)

    Article  MATH  Google Scholar 

  5. Yang, W., Huang, X., Liao, Q.: Fusion of finger vein and finger dorsal texture for personal identification based on Comparative Competitive Coding. In: 2012 19th IEEE International Conference on Image Processing (ICIP), pp. 1141–1144. IEEE (2012)

    Google Scholar 

  6. Wenming, Y., Guoli, M.A., Fei, Z., et al.: Feature-Level Fusion of Finger Veins and Finger Dorsal Texture for Personal Authentication Based on Orientation Selection. IEICE Transactions on Information and Systems 97(5), 1371–1373 (2014)

    Google Scholar 

  7. Faundez-Zanuy, M.: Data fusion in biometrics. IEEE Aerospace and Electronic Systems Magazine 20(1), 34–38 (2005)

    Article  Google Scholar 

  8. 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), pp. 1–6. IEEE (2011)

    Google Scholar 

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

    Google Scholar 

  10. Tsinghua University Finger Vein and Finger Dorsal Texture Database1THU-FVFDT1, http://www.sz.tsinghua.edu.cn/labs/vipl/thu-fvfdt.html

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© 2014 Springer International Publishing Switzerland

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Yang, W., Qin, C., Liao, Q. (2014). 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) Biometric Recognition. CCBR 2014. Lecture Notes in Computer Science, vol 8833. Springer, Cham. https://doi.org/10.1007/978-3-319-12484-1_30

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  • DOI: https://doi.org/10.1007/978-3-319-12484-1_30

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12483-4

  • Online ISBN: 978-3-319-12484-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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