资源列表
[图形/文字识别] work
说明:基于BP神经网络对印刷体字符图象进行识别,经过前期处理,获得64*64的二值图象,其二值图象数据作为神经网络的输入.-BP neural network based on the characters of the print images to identify, after pre-treatment, access to 64* 64 binary image, and the second value of image data as the neural network input.<张海伟> 在 2025-11-27 上传 | 大小:11kb | 下载:0
[图形/文字识别] Eigenface_Face_Recognition_System
说明:Eigenface Face Recognition System All functions are easy to use, as they are heavy commented. Furthermore, a sample scr ipt is included to show their usage. -Eigenface Face Recognition SystemAll functions are easy to use, as they are heavy comme<ruan> 在 2025-11-27 上传 | 大小:256kb | 下载:0
[图形/文字识别] OpenCV_face_detector
说明:This zip file contains source code and windows executables for carrying out face detection on a gray scale image. The code implements Viola-Jones adaboosted algorithm for face detection by providing a mex implementation of OpenCV s face detector. Ins<ruan> 在 2025-11-27 上传 | 大小:1.24mb | 下载:0
[图形/文字识别] Automatic_Fingerprint_Authentication_System
说明:A novel texture-based Automatic Fingerprint Authentication System (AFAS) is proposed. A fingerprint image is preprocessed to enhance the image by Short Time Fourier Transform (STFT) analysis. Then, three sets of invariant moment features, as a kind o<ruan> 在 2025-11-27 上传 | 大小:412kb | 下载:0
[图形/文字识别] Optical_Character_Recognition
说明:The aim of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extractio<ruan> 在 2025-11-27 上传 | 大小:49kb | 下载:0
[图形/文字识别] Character_Recognition_Using_Neural_Networks
说明:Character Recognition Using Neural Networks Steps to use this GUI. 1. Open the GUI figure, run it. (accept the matlab to change its directory to new location where the file is stored) 2. First we need to teach Character to computer. For this ty<ruan> 在 2025-11-27 上传 | 大小:170kb | 下载:0
[图形图像处理(光照,映射..)] 2DLDA_PK_LDA_for_feature_extraction
说明:These are the codes in "A note on two-dimensional linear discrimant analysis", Pattern Recognition Letter In this paper, we show that the discriminant power of two-dimensional discriminant analysis is not stronger than that of LDA under the assump<ruan> 在 2025-11-27 上传 | 大小:12kb | 下载:0