Optimization of the threshold value for segmentation of objects of a priori known forms

被引:0
作者
I. A. Astafyev
机构
[1] Vladimir State University, Vladimir 1600017
关键词
biometrics; iris recognition; optimization; pattern recognition; segmentation;
D O I
10.1134/S1054661812010087
中图分类号
学科分类号
摘要
This paper proposes a method of finding the threshold value for segmenting objects of a priori known form. The problem is formulated as an optimization problem. The segmentation of the human pupil (the first stage of the iris segmentation in the iris recognition process) is given as an example of implementing the approach. © 2012 Pleiades Publishing, Ltd.
引用
收藏
页码:164 / 167
页数:3
相关论文
共 6 条
  • [1] Daugman J.G., High Condense Visual Recognition of Persons by a Test of Statistical Independence, IEEE Trans. Pattern Anal. Mach. Intell., 15, 11, pp. 1148-1161, (1993)
  • [2] Daugman J.G., New Methods in Iris Recognition, IEEE Trans. Syst., Man, Cybern., 37, 5, pp. 1167-1175, (2007)
  • [3] He Z., Tan T., Sun Z., Qiu X., Toward Accurate and Fast Iris Segmentation for Iris Biometrics, IEEE Trans. Pattern Anal. Mach. Intell., 31, pp. 1670-1684, (2008)
  • [4] Ma L., Tan T., Wang Y., Dexin Z., Personal Identification Based on Iris Texture Analysis, IEEE Trans. Pattern Anal. Mach. Intell., 25, 12, pp. 1670-1684, (2003)
  • [5] Rosenfeld A., de la Torre P., Histogram Concavity Analysis As an Aid in Threshold Selection, IEEE Trans. Syst., Man, Cybern., 13, 3, pp. 231-235, (1983)
  • [6] CASIA Iris Image Database V-3.0, (2008)