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verification-code
- 易语言验证码识别源码，以易语言论坛为例，可以达到99 的识别率-Easy language verification code to identify source, easy language forum, for example, can reach 99 recognition rate
face
- 人脸检测程序 识别率较高 适合初学者-Higher recognition rate of face detection program for beginners
TBMP-shapeh
- 形状上下文算法。做好预处理后，使用此算法匹配验证码，识识别率非常高，且无视扭曲，变形。， -Shape context algorithm. Do pretreatment, the use of this algorithm to match the verification code, the knowledge is very high recognition rate, and ignoring the twisted, distorted. ,
HDigitalRReca
- 手写体数字识别的Visual C实现使用神经网络算算法对手写体数字进行识别，训练后识别率可达90％左右。 -Handwritten numeral recognition, Visual C Neural Network Algorithm for recognition of handwritten digit recognition rate after training up to about 90 .
BPCAAFaceRReca
- 一种基于ORL人脸库的人脸识别源程程序源码，识别率88％。 -A program source library based on the ORL face recognition source process, the recognition rate of 88 .
2pcaa2DDd
- 用matlab实现了2dpca算法，，一种基于ORL人脸数据库，识别率较高 -The algorithms using matlab 2dpca of a higher based on ORL face database, the recognition rate
FGestureRecoga
- 人脸识别程序，支持摄像头，需要预先输入图象识别，加入了毛发，，人脸360度模型等先进设置，识别率高， -Face recognition program, support camera, image recognition need to be pre-entered, joined the hair, face 360-degree model advanced settings, high recognition rate,
TestWaveletHu
- 小波和hu不变矩相结合的一个matlab程序，先用小波做3层分解，让后提取hu不变矩，会大大提高分类识别率-Wavelet and hu unchanged moments combining a matlab program, the first 3 layers using wavelet decomposition, so extract hu invariant moments, will greatly improve the classification recognition ra
TestWaveletZernike
- 小波和Zernike矩的做图像特征提取的一个matlab程序，相比单独实用识别率明显改善-Wavelet and Zernike moments to do image feature extraction matlab program, compared to a separate the practical recognition rate improved significantly
BDLDAPCA
- 2DPCA用于热轧带钢的表面缺陷识别的matlab程序，这相对于PCA及单PCA来说有显著的的识别率提高-2DPCA for hot-rolled strip steel surface defect recognition matlab program, which relative to the PCA and single PCA recognition rate improve
matlabPCA-face-recognition
- pca 人脸识别 大家下载下 学习的好例子 识别率不是很高-pca face recognition,please download,is a good example to study,the correct is not very high
incremental_kpca
- 用核主成分分析算法进行的人脸识别，总的来说识别率还不错-Face recognition using the nuclear principal component analysis algorithm, on the whole pretty good recognition rate
GBayesian_Claa
- 使用高斯模型对威斯康辛州大学医学院长期乳腺癌数据进行了贝叶叶斯模式识别。识别率为95以上，可以作为模式识别的重要案例。 -Gaussian model the long-term breast cancer data of the University of Wisconsin School of Medicine the Bayeux Yates pattern recognition. Recognition rate of 95 or more can be used as the p
RPtBBarcodeDDe
- 识别率非常高的PDF417、QR码与Data Matrix码解解码程序源码，带解码的DLL，用法也相当简单易懂。 可直接使用。 -Very high recognition rate PDF417, QR code and Data Matrix code the solution decoding program source code, DLL decoding, usage is quite straightforward. Can be used directly.
TFaceRecognith
- 这是一个matlab编写的计算人脸识别率的小程序，选选用的图像数据库位ORL数据库。，已通过测试。 -This is a matlab write a small program to calculate the face recognition rate, the election chosen image databases bit ORL database. , Has been tested.
tzsb
- 使用高阶累积量对MPSK信号进行调制识别，效果很好，可以达到很高的识别率，我曾论证了好久，确定它的结果没有问题，确实识别率很高-Modulation recognition of MPSK signals using higher order cumulants good effect, and can achieve a high recognition rate, I have argued for a long time, and its results, is indeed a high
HcomresRRARo
- 检测圆的Hough变化，速度快 功能强大比标准的houugh检测更加灵活多变，识别率高，已通过测试。 -Circle detection Hough changes, the fast powerful than the standard houugh detect more flexible and a high recognition rate, has been tested.
LcarRecogernii
- 车牌识别和定位的小程序 只支持BMP格式 里面带有设计的思思路文档 适合做课程设计用 识别率还行，已通过测试。 -The Sisi Road license plate recognition and positioning program only supports BMP format inside with design documents suitable curriculum design line recognition rate has been tested.
Support-vector-machine-
- 提出了一种支持矢量机的汉语声调识别新方法。论文首先在基频和对数能量的基础上，建立了一个适合于支 持矢量机分类的等维声调特征。然后对支持矢量机的多分类策略和不同核函数对声调识别的影响进行了实验研究。 与BP神经网络相比，支持矢量机具有更高的识别率和更强的推广能力。-This paper presents a novel support vector machine based Chinese tone recognition method．A new tone recognition
Tone-Recognition
- 调信息在汉语语音识别中具有非常重要的意义。采用支持向量机对连续汉语连续语音进行声调识别实 验，首先采用基于Teager能量算子和过零率的两级判别策略对连续语音进行浊音段提取，然后建立了适合于支持向 量机分类模型的等维声调特征向量。使用6个二类SVM模型对非特定人汉语普通话的4种声调进行分类识别，与 BP神经网络相比，支持向量杌具有更高的识别率。-Tone is an essential component for word formation in Chinese languages