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编码识别代码通过图像识别技术
- 用摄像头采集类似于电话充值卡的图象，对其的卡号，密码区域进行识别，只识别数字。（0-9）但原理相同，你只需改一下字库即可使用。 我先说下步骤： 1. 字符和字符之间都有间隔，首先要根据间隔确定每个字符的区域(Rect). 2. 然后一个一个象素地和标准字符比较。也就是比较 26 * 2 = 52 次，误差最小的，就认为是该字符。 （注：这种算法比较简单，易于理解，缺点就是效率不高，我用摄像头采集图象识别数字成功率为 98%以上。我曾请教过一位做这方面的专家，他称无论什么识别，影响识别的最重要因数
基于opencv的车牌识别
- 基于opencv1.0，VC6.0的车牌识别代码，识别率还不错
PCALDA.rar
- 这是自己毕业设计做的PCA和LDA的结合，训练和识别过程都有，用的是ORL库里的图像，具有较高的识别率！,This is the pca+lda,and it has the good recognition!
HMMDemo
- 基于Opencv和Visual C++技术，编程实现的人脸识别系统，可以实现人脸的自动识别，在ORL人脸库中取得了98 的识别率-Based on Opencv and Visual C++ technology, programming of the face recognition system that can realize the automatic face recognition, in the ORL face database has achieved 98 recognit
整套PlateDsp车牌识别
- 整套车牌识别代码，有vc vb delphi等完整demo程序及文档 识别率不错。很有价值
OK
- 基于PCA实现的人脸识别，识别率达到80 以上-Face Recognition Based on PCA implementation, the recognition rate of more than 80
FaceRecognition
- 实现人脸的自动检测和识别，具有很高的识别率和检测率-Implementation of automatic face detection and recognition, a high recognition rate and detection rate
FaceRecognition
- 这是一个matlab编写的计算人脸识别率的小程序，选用的图像数据库位ORL数据库。-This is a face recognition matlab calculation of the rate of the preparation of small procedures, digital image database selected ORL database.
tongjipcarecognition
- 统计PCA人脸识别程序 识别率比较高 大家多多下载-statical face recognition recognition high
lpp
- 基于LPP的人脸识别模块，运用matlab7.0编写，识别率达到70 以上，能够很好的识别不同姿势，光照，表情的变化-LPP-based face recognition module, using matlab7.0 writing, over 70 recognition rate can be a very good identification of the different positions, illumination, expression changes in
PCAOK
- PCA人脸识别，在ORL人脸库中有88 的识别率，简单方便-PCA face recognition, in the ORL face database, 88 recognition rate, simple
PCA_LDA_Face_Verification
- PCA+LDA人脸识别，识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。-Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired.
bpn
- 用matlab实现的神经网络识别字母的程序，识别率达到100 。-Program of neural network regnizing letters using MATLAB, the accuracy is up to 100
zuijinlinfenlei
- 我们使用MATLAB软件实现了人脸识别并统计其识别率。本实验采用PCA（主成分分析）方法，利用K-L变换和奇异值分解原理实现。并分别采用最近邻法分类器得出它们的成功率。-We use face recognition software and the MATLAB Statistics recognition rate. The present study, PCA (principal component analysis) method, using KL transform and sin
java车牌识别
- JAVA车牌识别技术，识别率达到90%；(JAVA license plate recognition technology)
c#图片文字识别
- c#基于Tesseract框架和语言训练库的图片文字识别。全工程文件，对仅含文字的清晰的图片，识别率较高！(C# text recognition based on Tesseract framework and language training library. The whole engineering document has a higher recognition rate for clear pictures containing only words!)
图像识别
- 基于微软的MODI，用于识别文字，识别率不高，用于初学者理解(Based on Microsoft's MODI, used to identify text, recognition rate is not high, for beginners to understand)
人脸识别
- 实现人脸识别功能，GUI界面，其中有测试人脸集，识别率95以上(To achieve face recognition function, GUI interface)
C# OCR光学识别，数字识别率达100%
- Ocr光学识别数字，识别率达百分百，基于AspriseOcr(AspriseOcr removal of projectile frame restriction)
VB图像识别
- VB 图像识别，运用直方图来进行识别，识别率高，代码高效，安全(VB image recognition, histogram recognition, high recognition rate, code efficiency, security.)