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The Extraction and Comparison of Finger Edges for Person Identification

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Abstract

This research uses the object extracting technique to extract the—thumb, index, middle, ring, and small fingers from the hand images. The algorithm developed in this research can find the precise locations of the fingertips and the finger-to-finger-valleys. The extracted fingers contain many useful geometry features. One can use these features to do the person identification. The geometry descriptor is used to transfer geometry features of these finger images to another feature-domain for image-comparison. Image subtraction is used to exam the difference of the two images. This research uses the finger-edge as the feature to recognize different people. In this research, there are 120 genuine tests—the comparisons of the same person’s fingers and 720 imposter tests—the comparisons of different person’s fingers.

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References

  • Editorial (July 2003) Hand-based biometrics. Biometric Technology Today, 11(7), 9–11

  • K. O. Egiazarian S. G. Pestana (2002) ArticleTitleHand shape identification using neural networks The International Society for Optical Engineering 4667 440–448

    Google Scholar 

  • C.-C. Han (2003) ArticleTitleA hand-based personal authentication using a coarse-to-fine strategy Image and Vision Computing 22 909–918

    Google Scholar 

  • C.-C. Han H.-L. Cheng C.-L. Lin K.-C. Fan (2003) ArticleTitlePersonal authentication using palm-print features Pattern Recognition 36 371–381

    Google Scholar 

  • He, B., Qiu, Z.-D., & Sun, D.-M. (2002). Secure authentication system incorporating hand shapes verification and cryptography techniques. IEEE Region 10 Annual International Conference, Proceedings/TENCON, 1, 156–159

  • D. G. Joshi Y. V. Rao S. Kar V. Kumar (1998) ArticleTitleComputer vision based approach to personal identification using finger crease pattern Pattern Recognition 31 15–22 Occurrence Handle10.1016/S0031-3203(97)00034-4

    Article  Google Scholar 

  • A. Kumar D. C. M. Wong H. C. Shen (2003) Personal verification using palmprint and hand geometry biometric Springer-Verlag Heidelberg 668–678

    Google Scholar 

  • Lia, W., Zhang, D., & Xub, Z. (May 2003). Image alignment based on invariant features for palmprint identification. Signal Processing: Image Communication, 18(5), 373–379

    Google Scholar 

  • Lin C.-L., Fan, K.-C. (February 2004). Biometric verification using thermal images of palm-dorsa vein patterns. IEEE Transactions on Circuits and Systems for Video Technology, 14(2), 199–213

  • Lua, G., Zhang D., & Wanga, K. (June 2003). Palmprint recognition using eigenpalms features. Pattern Recognition Letter, 24, (9–10), 1463–1467

    Google Scholar 

  • Ma, Y., Pollick, F., & Hewitt, W. Terry. (2004). Using B-Spline curves for hand recognition. Proceedings of the 17th International Conference on Pattern Recognition (ICPR’04)

  • Mitome, A., & Ishii, R. (November 2–6 2003). A comparison of hand shape recognition algorithms. The 29th Annual Conference of the IEEE Industrial Electronics Society

  • Oden, C., Ercil, A., & Buke, B. (September 2003). Combining implicit polynomials and geometric features for hand recognition. Pattern Recognition Letter, 24(13) 2145–2152

    Google Scholar 

  • R. Sanchez-Reillo C. Sanchez-Avila A. Gonzales-Marcos (2000) ArticleTitleBiometric identification through hand geometry measurements IEEE Trans Pattern Anal Mach Intell 22 IssueID10 1168–1171 Occurrence Handle10.1109/34.879796

    Article  Google Scholar 

  • Su, C.-L. (July 2003). Technique for person’s identification: using the extracted index finger image to identify individuals. Journal of Intelligent and Robotic Systems, Netherlands, 37(3), 337–354

    Google Scholar 

  • Sun, D.-M., & Qiu, Z.-D. (2004). Automated hand shape verification using HMM. The 7th International Conference on Signal Processing Proceedings (ICSP’04), pp 2274–2277

  • You, J., Li, W., & Zhang, D. (April 2002). Hierarchical palmprint identification via multiple feature extraction. Pattern Recognition, 35(4), 847–859

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Correspondence to Ching-Liang Su.

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Su, CL. The Extraction and Comparison of Finger Edges for Person Identification. J Intell Manuf 17, 233–241 (2006). https://doi.org/10.1007/s10845-005-6639-x

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