文件名称:FACERECOGNITIONBASEDONFRACTALANDGENETICALGORITHMS.
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本文的题目是基于分形和遗传算法的人脸识别方法,对有限人群提出一种采用分形特征和遗传聚类的识别方法: 将图像分成很多小区域, 分别计算各个区域的分形特征, 以充分利用图像二维信息 同一个模式有多个样本, 通过遗传算法进行聚类以得到最优解实现不变性识别. 最后采用ORL 人脸图像库的一组图像对比了新方法、本征脸法和自联想神经网络方法, 结果表明该方法的识别率, 与本征脸法相似, 比自联想神经网络高.-The title of this article is based on fractal and genetic algorithms for face recognition method, a crowd of limited use of fractal characteristics and the identification of genetic clustering methods: the image is divided into many small regions, each region were calculated fractal characteristics, to take full advantage of two-dimensional image information with a model for a number of samples, through the genetic clustering algorithm in order to obtain the optimal solution to achieve invariant recognition. Finally, using ORL face image database of a group of image contrast of the new methods, eigenface law and auto-associative neural network methods, results show that the method of recognition rate, with the eigenface method is similar to auto-associative neural network than high.
相关搜索: eigenface
人脸识别
fractal
face
recognition
genetic
clustering
face
recognition
using
genetic
algorithms
genetic
face
recognition
auto
associative
neural
network
遗传
神经网络
genetic
clustering
matlab
orl
pdf
人脸识别
fractal
face
recognition
genetic
clustering
face
recognition
using
genetic
algorithms
genetic
face
recognition
auto
associative
neural
network
遗传
神经网络
genetic
clustering
matlab
orl
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基于分形和遗传算法的人脸识别方法.pdf