Search - recognition using neural network in matlab

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[AI-NN-PR] NeuroFaceDemo DL : 0: Face Recognition Demo using Neural Networks-Face Recognition Demo using Neural Network ks
Date : 2025-07-15 Size : 3.29mb User : 李琳莉
[File Format] FACERECOGNITIONBASEDONFRACTALANDGENETICALGORITHMS. DL : 0: 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.
Date : 2025-07-15 Size : 372kb User : 阳关
[matlab] NeuralNetwork_BP_Classification DL : 0: 用matlab实现了人工神经网络的Bp网络算法，有利于图形图像的提取和识别-Matlab achieved using artificial neural network algorithm Bp network is conducive to graphical image extraction and recognition
Date : 2025-07-15 Size : 2kb User : 李东
[Graph Recognize] digit DL : 0: 自己写的matlab源程序，神经网络原理与模式识别上的一个作业题，关于对数字1～9的识别的，用BP神经网络matlab工具箱来做的。-Their own source code written in matlab, neural network theory and pattern recognition operation on a title, with respect to figures 1 to 9 of identification, using BP neural network toolbox matlab to do the.
Date : 2025-07-15 Size : 8kb User : wangdenuan
[Mathimatics-Numerical algorithms] thematerialofmatlabandthedataofpatternrecognitionw DL : 0: matlab的详细手册（中英文版）、matlab的相关程序实例、用maple和matlab解决科学计算问题的资料 Kohonen网络的模式识别和LVQ神经网络的模式识别-matlab detailed manual (in English), matlab examples of the relevant procedures, using maple and matlab to solve issues in scientific computing Kohonen network LVQ neural network pattern recognition and pattern recognition
Date : 2025-07-15 Size : 11.15mb User : lbj
[AI-NN-PR] five DL : 0: 1.BP神经网络进行模式识别 2.用BP网络对非线性系统进行辨识 3.一个神经网络PID控制器 4.图像处理的PCA算法 5.图像处理的穷举算法-1.BP neural network pattern recognition 2. Using BP network identification of nonlinear systems 3. A neural network PID controller 4. The PCA algorithm for image processing 5. The exhaustive algorithm for image processing,
Date : 2025-07-15 Size : 5kb User : hudingyin
[Graph Recognize] hopfield DL : 0: 采用MATLAB实现Hopfield神经网络算法，并用其来进行字符识别。实验包括单个噪声字符的识别和多个噪声字符的识别两部分。并从这两方面对实验数据进行了分析与对比。-Hopfield neural network implementation using MATLAB algorithm, and use it to carry out character recognition. Experiments included a single noise, character recognition and character identification number of the noise in two parts. From both the experimental data were analyzed and compared.
Date : 2025-07-15 Size : 3kb User : caoliang
[AI-NN-PR] Application_of_matlab_pattern_recognition DL : 0: Date : 2025-07-15 Size : 246kb User : Bob Yang
[Graph Recognize] zifushibie DL : 0: 用MATLAB实现的字符识别，基于神经网络的方法实现。-Implemented using MATLAB character recognition, neural network-based approach to achieve.
Date : 2025-07-15 Size : 131kb User : 林俊
[Graph Recognize] dctannprotected DL : 0: High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.-High information redundancy and correlation in face images result in inefficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.
Date : 2025-07-15 Size : 25kb User : mhm
[3G develop] BPModulationClassification DL : 0: 采用BP神经网络算法进行调制样式识别的Matlab代码-Using BP neural network pattern recognition algorithm Matlab code modulation
Date : 2025-07-15 Size : 3kb User : zzm
[Special Effects] fun_pcnn DL : 0: 基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。-Feature extraction of specified object is an important preprocessing stage in machine vision systems. In this paper, we present a novel hybrid feature extraction method using PCNN (Pulse Coupled Neural Network) and shape information. First, we use PCNN firing map train to formulate object’s time signature, then we use roundness of each firing map to formulate object’s shape information vector, the final feature matrix we got is combined time signature and roundness. We take correlations as our judge criteria in our experiments. It has been proved that the algorithm is not sensitivity with the rotation, scaling and translation of the object and is a useful method for target recognition applications.
Date : 2025-07-15 Size : 1kb User : wangxiaofei
[AI-NN-PR] BP-network DL : 0: bp神经网络在语音识别中的应用，同时利用Matlab进行仿真得到结果-bp neural network in speech recognition applications, while the results obtained using Matlab simulation
Date : 2025-07-15 Size : 370kb User : 斯芸芸
[AI-NN-PR] license-plate-recognition-system DL : 0: 本文将BP神经网络应用于车牌的自动识别，在简述BP神经网络的基础上，重点讨论了用BP神经网络方法对车牌照字符的识别，用MATLAB完成了对车牌照数字识别的模拟，最后得出实验结果，证明这种方法是高效-BP neural networks used in automatic license plate recognition, in brief, based on BP neural network, focused on the BP neural network method for vehicle license plate character recognition, using MATLAB completed a simulation of vehicle license plate number recognition, Finally, experimental results obtained show that this method is efficient
Date : 2025-07-15 Size : 3.2mb User : likun
[AI-NN-PR] Matlab30caseanalysis DL : 0: Matlab神经网络30个案例分析，很经典的一本关于Matlab用于模式识别的教科书，对于初学者有很大帮助。-Matlab neural network 30 case analysis is a very classic book on Matlab using in pattern recognition textbooks, being of great help for beginners.
Date : 2025-07-15 Size : 3.97mb User :
[AI-NN-PR] Letter-recognition DL : 0: 基于神经网络, 采用 Matlab 6. 5 和 Visual C, 设计一个字母识别系统。该系统通过对 BMP 图片的二值化处理,在 VC 环境下调用 Matlab,并将把二值化后的数据进行网络训练,从而实现 26 个英文字母的识别。系统性能的测试表明,系统所训练的神经网络有很好的抗干扰能力。-The design letter recognition system based on neural network, using Matlab 6. 5 and Visual C,. The system by BMP image binarization processing, called VC environment Matlab, and the binarization data network training, in order to achieve the recognition of the 26 letters of the alphabet. System performance tests show that the neural network training system has a good anti-jamming capability.
Date : 2025-07-15 Size : 120kb User : 王朝
[Education soft system] characterrecognition DL : 0: This the error backpropagation algorithm based character recognition program developed in matlab. The program folder contains the training images of some english alphabets & numerals. & trains the neural network using train command in matlab. The neural network is initialized using newff command. After the simulation, the program recognizes the input character. Accuracy on the provided images is 100 .-This is the error backpropagation algorithm based character recognition program developed in matlab. The program folder contains the training images of some english alphabets & numerals. & trains the neural network using train command in matlab. The neural network is initialized using newff command. After the simulation, the program recognizes the input character. Accuracy on the provided images is 100 .
Date : 2025-07-15 Size : 7.37mb User : manish
[AI-NN-PR] NumberHandwritting DL : 0: 基于神经网络的手写体数字识别，它是用matlab实现的，其中用3种不同的神经的网络方法实现了手写体数字的识别，非常利于初学者的学习和交流。-Handwritten digit recognition based on neural networks, which is achieved using matlab, in which three different neural network to achieve the recognition of handwritten digits, is very conducive to learning and the exchange of beginners.
Date : 2025-07-15 Size : 41kb User : 初光磊
[Other] pattern-recognition-tutorial DL : 0: The following Matlab project contains the source code and Matlab examples used for neural network for pattern recognition tutorial. Simple tutorial on pattern recognition using back propagation neural networks. the program has 3 classes with 3 images per class. The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.
Date : 2025-07-15 Size : 2kb User : sina
[matlab] Color Reduction and Quantization DL : 0: Color Reduction and Quantization using k-Means, Fuzzy Clustering (FCM), and SOM Neuarl Network in MATLAB In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing Map Neural Network. The implemented code, uses RGB and HSV color coding, to perform the clustering task, and user can select desired approach of coding.
Date : 2025-07-15 Size : 243kb User : amardz

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