Abstract
Three approaches of iris texture feature representation are discussed for personal identification. After several iterative algorithms of SOR, SSOR, PSB, DFP, BFGS are presented, a new methods for feature representation of iris texture is put forward. The results of numerical examples show that these methods prove to be effective. ...
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Liu, Y., Yuan, S., Liu, Z. (2003). Research on Approaches of Iris Texture Feature Representation for Personal Identification. In: Guo, M., Yang, L.T. (eds) Parallel and Distributed Processing and Applications. ISPA 2003. Lecture Notes in Computer Science, vol 2745. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-37619-4_40
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DOI: https://doi.org/10.1007/3-540-37619-4_40
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