Description: 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. Platform: |
Size: 380928 |
Author:阳关 |
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Description: 一种基于改进主成分分析的人脸识别方法，利用遗传算法进行特征矢量选择-A principal component analysis based on an improved face recognition methods, the use of genetic algorithm feature vector selection Platform: |
Size: 271360 |
Author:李宛霖 |
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Description: 基于改进的独立分量分析的人脸识别方法，,本文将遗传算法(GeneticAlgorithm,GA)应用到独立分量的选择与优化中,从而在
保证较高识别性能的前提下,获得最优的人脸特征子集-Based on an improved independent component analysis for face recognition method, this article will genetic algorithm (GeneticAlgorithm, GA) is applied to independent component selection and optimization, resulting in a higher recognition performance guarantee under the premise was the best facial feature subset Platform: |
Size: 133120 |
Author:李宛霖 |
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Description: 遗传+Gabor人脸/掌纹/指纹/虹膜等识别匹配程序。注意，该程序包含特征提取和匹配识别，但是对输入的图像要求最好是经过定位归一化的。没经过定位归一化的图像，识别效果较差。-Genetic+ Gabor Face/Palmprint/fingerprint/iris recognition, such as matching program. Note that the program contains the feature extraction and matching identification, but the input requirements of the best images is normalized positioning. Not normalized, after positioning of images, to identify less effective. Platform: |
Size: 9216 |
Author:曲晓峰 |
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Description: 基于人工神经网络的图像识别方法研究。基于神经网络的人脸检测研究。基于特征融合与神经网络的手写体数字识别技基于遗传神经网络的手写体数字识别研究术研究。基于遗传优化的神经网络的银行票据手写数字识别。一种改进的人工神经网络模型-Based on artificial neural network image recognition method. Neural Network Based Face Detection Research. Based on Feature Fusion and Neural Network Recognition of Handwritten Numerals Based on Genetic Neural Network Technology of handwritten numeral recognition technique research study. Optimization based on genetic neural network bank notes handwritten numeral recognition. An Improved Artificial Neural Network Model Platform: |
Size: 13884416 |
Author:cheng |
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Description: Genetic Algorithm and Neural Network for
Face Emotion Recognition. A document is suitable for people who researching about facial expression Identification Platform: |
Size: 424960 |
Author:Amila Pathirana |
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Description: 基于遗传算法和bp网络的简单人脸识别，只能识别三种表情。图像经过简单的小波变换处理-Bp networks based on genetic algorithm and a simple face recognition, could only identify three kinds of expressions. After a simple wavelet transform image processing Platform: |
Size: 1042432 |
Author:王平 |
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Description: 遗传算法优化支持向量机参数的人脸识别程序，能直接运行-Genetic algorithm optimization parameters of SVM face recognition program that can be run directly Platform: |
Size: 21245952 |
Author: 王小姐 |
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Description: 遗传算法无功优化，Gabor小波变换与PCA的人脸识别代码，实现六自由度运动学逆解算法。- Genetic algorithm based reactive power optimization, Gabor wavelet transform and PCA face recognition code, Six degrees of freedom to achieve inverse kinematics algorithm. Platform: |
Size: 6144 |
Author:haolou |
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