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Lip Recognition Using Morphological Pattern Spectrum

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Audio- and Video-Based Biometric Person Authentication (AVBPA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2091))

Abstract

For the purpose of recognizing individuals, we suggest a lip recognition method using shape similarity when vowels are uttered. In the method, we apply the mathematical morphology, in which three kinds of structuring elements such as square, vertical line and horizontal line are used for deriving pattern spectrum. The shapeness vector is compared with the reference vector to recognize individual from lip shape. According to experimental results with 8 lips uttered five vowels, it is found that the method successfully recognizes lips with 100% accuracy.

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References

  1. Y. Hayashi, “Technique, Needs and expectation of Personal Identification”, Journal of the Society of Instrument and Control Engineers, Vol.25,No.8, pp. 683–687, 1986.

    Google Scholar 

  2. T. Minami, “Personal Identification of Face Images”, Systems, Control and Information, Vol.35,No.7, pp. 415–422, 1991.

    Google Scholar 

  3. S. Akamatsu, “Computer Recognition of Human Face-A Survey-”, Transaction of IEICE DII, Vol.80-D-II,No.8, pp. 2031–2046, 1997.

    Google Scholar 

  4. Y. Saito and K. Kotani, “Extraction and Removal of Eyeglasses Region in Facial Image using Parametric Model of Eyeglasses Frame Shape”, Technical Report of IEICE, CS97-140, pp. 55–60, 1997.

    Google Scholar 

  5. M. Omata, H. Machida, T. Hamamoto, and S. Hangai, “Extraction of Lip Shape for Recognizing Phonetics under Noisy Environment”, Proceedings of the 2000 IEICE General Conference, D?12-65, 2000.

    Google Scholar 

  6. A. Kakisaki, M. Sugihara, T. Hanamura, and H. Tominaga, “Image Coding Control Method based on Color Difference in Uniform Color Space”, Proceedings of the Picture Coding Symposium of Japan (PCSJ93), pp. 131–132, 1993.

    Google Scholar 

  7. Y. Shirai and M. Yachida, “Pattern Information Processing”, pp.105–107, Ohmsha, 1998.

    Google Scholar 

  8. H. Shibayama, “Image Processing using X11 Basic Programming”, pp. 250–256, Gijutsuhyoronsya, 1994.

    Google Scholar 

  9. H. Kobatake, “Morphology”, Corona Publishing, 1996.

    Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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Omata, M., Hamamoto, T., Hangai, S. (2001). Lip Recognition Using Morphological Pattern Spectrum. In: Bigun, J., Smeraldi, F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45344-X_17

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  • DOI: https://doi.org/10.1007/3-540-45344-X_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42216-7

  • Online ISBN: 978-3-540-45344-4

  • eBook Packages: Springer Book Archive

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