基于虹膜模式提取特征和分类的人物自动识别

R. Szewczyk, P. Jablonski, Z. Kulesza, A. Napieralski, J. Cabestany, M. Moreno
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引用次数: 15

摘要

本文尝试设计虹膜识别系统的决策部分,使虹膜识别系统只需看一眼摄像头就能识别出人。与现有的系统相比,拟议的系统将是便宜的。采用改进的Haralick与多层感知器共现方法对虹膜进行提取和分类。本文还介绍了一些初步的研究结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic people identification on the basis of iris pattern - extraction features and classification
In this paper an attempt to design decision part of the iris identification system, which will be able to identify persons just by a look at the camera, is discussed. Proposed system will be cheap in comparison with present ones. Modified Haralick's co-occurrence method with multilayer perceptron is used for extraction and classification of the irises. Some preliminary research results are also presented.
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