[模式识别(视觉/语音等)] 文字识别程序
目前该手写体识别系统主要分为 预处理模块： 主要包括训练数据和识别数据的读取，归一化，二值化 特征提取模块：主要包括笔划方向特征和网格密度特征，还可以根据对识别率的要求继续增加其他特征 识别（分类器）模块：主要包括SVM方法和BP神经网络的方法，其中SVM方法的识别率较高，SVM＋网格密度特征， 在小字符集情况下，达到了识别率97％以上 采用OO思想编写，适合做二次开发
currently the handwriting recognition system consists of pretreatment modules : including training data and identification data read, in one, two values of feature extraction module : the main characteristics of the direction including strokes and grid density characteristics, but also based on the identification of the requirements to continue to increase other identification ( Categories) modules : include SVM methods and BP networks, which SVM method for the identification of high SVM+ mesh density characteristics, in a small set of characters to achieve a recognition rate of over 97% using OO ideological preparation, suitable for secondary development (2005-07-18, Visual C++, 330KB, 下载1741次)
[模式识别(视觉/语音等)] handdetection
通过单目摄像头实现手势跟踪并且可以识别四种手势实现智能控制，需要OPENCV0.97以上版本。
Achieved by single camera head and hand tracking can identify four gesture intelligent control, you need to OPENCV0.97 above. (2010-10-08, Visual C++, 1371KB, 下载151次)
[模式识别(视觉/语音等)] text2data
程序] 文本文件和二进制文件读写 --C语言
/*
程序说明:
实现对账户信息的添删查改操作
从一个文本文件 data.txt 读取数据,然后写入一个二进制文件 credit.bf 文件中
*/
Procedures] text files and binary files read and write C language/* description of the procedures: the realization of the account information of Tim censored search operation to a text file data.txt from the read data, and then write a binary file credit.bf file* / (2008-07-14, C/C++, 3KB, 下载68次)
[模式识别(视觉/语音等)] FreeICTCLAS
汉语词法分析系统ICTCLAS(Institute of Computing Technology, Chinese Lexical Analysis System)，该系统的功能有：中文分词；词性标注；未登录词识别。分词正确率高达97.58 (973专家组评测)，未登录词识别召回率均高于90 ，其中中国人名的识别召回率接近98 处理速度为31.5Kbytes/s。ICTCLAS的特色还在于：可以根据需要输出多个高概率结果，有多种输出格式，支持北大词性标注集，973专家组给出的词性标注集合。该系统得到了专家的好评，并有多篇论文在国内外发表。
Chinese Lexical Analysis System ICTCLAS (Institute of Computing Technology, Chinese Lexical Analysis System), the system s features are: Chinese word segmentation-of-speech tagging unknown word identification. The correct segmentation rate of 97.58 (973 expert group evaluation), identification of unknown word recall rate were higher than 90 , one of the Chinese names to identify the recall rate of nearly 98 rate of treatment 31.5Kbytes/s. Also features ICTCLAS is: can output a number of high probability of a result, have a variety of output formats, to support the Beijing University of-speech tagging sets, 973 expert group give a collection of-speech tagging. The system has been praised by experts, and a number of papers published at home and abroad. (2009-03-03, Visual C++, 4331KB, 下载57次)
[模式识别(视觉/语音等)] renlianshibie
人脸识别正确率97.18 ,1秒内完成。
能够在复杂的光线和背景下依然正确工作，并支持多张人脸在一个画面上的检测，识别，验证。戴眼镜和黑色人种也能检测和识别。能从多角度检测到人脸。
并带人鼻，嘴，眼镜,人脸左右边界的定位功能。
本软件仅限用于可见光(如室内光,日光灯,节能灯,白炽灯),并要求用户主动配合采模板,主动配合识别.最好有USB摄像头
阳光人脸识别开发包(SDK)兼容性信息
1.人脸识别SDK平台：Windows，源码虽用VC编写，但未用GDI及第三方图库,故可易于移值到LINUX。
2.人脸识别SDK界面：SunLightFace.DLL,标准Windows API调用，附详细说明书。
3.人脸识别SDK支持语言。VC,VB,Delphi,C#。
(Delphi在调用函数时，传参和接收输出要做转换，可用VC做一个dll来测试Delphi传入的参数显出来是否正确。)
4.人脸识别SDK版本分类：主动识别可见光版（即本网页所介绍），被动识别可见光版，主动识别红外版。
5.作者能为SDK客户提供除SDK技术支持以外的人脸识别软件二次开发技术支持。
6.（主动识别可见光版）在添加正上方节能灯光源及加入镜头滤光片，并配以低照度高画质的摄像头时，将取得最佳效果 (2015-03-30, Visual C++, 1073KB, 下载24次)
[模式识别(视觉/语音等)] getPDF2
本文提出了一种新的车辆许可证盘子识别,并在此基础上提出了一种自适应图像分割方法
In this paper, a new algorithm for vehicle license
plate identification is proposed, on the basis of a novel adaptive
image segmentation technique (Sliding Windows) in
conjunction with a character recognition Neural Network. The
algorithm was tested with 2820 natural scene gray level vehicle
images of different backgrounds and ambient illumination.
The camera focused on the plate, while the angle of view and
the distance from the vehicle varied according to the
experimental setup. The license plates properly segmented
were 2719 over 2820 input images (96.4 ). The Optical
Character Recognition (OCR) system is a two layer
Probabilistic Neural Network with topology 108-180-36, whose
performance reached 97.4 . The PNN was trained to identify
multi-font alphanumeric characters from car license plates
based on data obtained from algorithmic image processing. (2010-04-11, Visual C++, 812KB, 下载11次)
[模式识别(视觉/语音等)] unnamed
多类数字识别，将图片分为3*3的区域，在9部分中，通过最小距离法识别测试图片，正确率97
Many kinds of digital identification, pictures will be divided into 3* 3 area, in nine part, through the minimum distance method identification test images, 97 accuracy
(2011-12-23, matlab, 1KB, 下载7次)
[模式识别(视觉/语音等)] a1
这是一个针对于车牌识别、车牌字符分割和车牌字符识别的算法，源代码完整。
This is a for license plate recognition, license plate character segmentation and license plate character recognition algorithm, the source code integrity.
(2015-08-02, Visual C++, 2328KB, 下载4次)
[模式识别(视觉/语音等)] A1
Image Location Changer
Image Location Changer (2010-01-27, Java, 16KB, 下载2次)
[模式识别(视觉/语音等)] whale
whale是kaggle比赛[鲸鱼图像]([https: www.kaggle.com c humpback-whale- identification )识别的简化版,本文是对Top3大神pudae算法复现](https: www.kaggle.com c humpback- whale- identification \)%E8%AF%86%E5%88%AB%E7%9A%84%E7%AE%80%E5%8C%96%E7%89%88%EF%BC%8C%E6%9C%AC%E6%96%87%E6%98%AF%E5%AF%B9Top3%E5%A4%A7%E7%A5%9Epudae%E7%AE%97%E6%B3%95%E5%A4%8D%E7%8E%B0),
Whale is a simplified version of the recognition of the Kaggle contest [Whale Image] ([https: www.kaggle.com c humpback whale - identification). This article is a reproduction of the Top3 god putae algorithm] (https: www.kaggle.com c humpback whale - identification )% E8% AF% 86% E5% 88% AB% E7% 9A% 84% E7% AE% 80% E5% 8C% 96% E7% 89% 88% EF% BC% 8C% E6% 9C% AC% E6% 96% 87% E6% 98% AF% E5% AF% B9Top3% E5% A4% A7% E7% A5% 9Epudae% E7% AE% 97% E6% B3% 95% E5% A4% 8D% E7% 8E% B0), (2023-06-17, Python, 0KB, 下载0次)
[模式识别(视觉/语音等)] FPN-keras
根据这个[https: github.com matterport Mask_RCNN修改的FPN](https: github.com matterport Mask_RCNN%E4%BF%AE%E6%94%B9%E7%9A%84FPN)
According to this [https: github.com matterport Mask_RCNN modified FPN] (https: github.com matterport Mask_RCNN% E4% BF% AE% E6% 94% B9% E7% 9A% 84FPN) (2018-03-02, Python, 50KB, 下载0次)
[模式识别(视觉/语音等)] bf
一系列视频，展示如何为大脑编写解释器和编译器#$！“语言。最终编译器ge...
A series of videos showing how to write an interpreter and compiler for the Brain#$!" language. The final compiler generates .net IL code which can be debugged from an IDE such as VS Code. (2020-08-19, C#, 23KB, 下载0次)
[模式识别(视觉/语音等)] VQA_2022_A1_18
EC601 BU的VQA团队
VQA team in BU for EC601 (2022-11-30, Python, 3335KB, 下载0次)
[模式识别(视觉/语音等)] SpeakerRecognition-based-on-GMM-UBM
基于GMM-UBM的说话人识别，高斯混合模型，并行计算，神经网络，召回率=90%，精度=92%，TNR=97%
SpeakerRecognition-based-on-GMM-UBM,Gaussian Mixture Model, parallel computations, NeuralNetworks, recall=90%, precision=92%, TNR=97% (2021-08-29, matlab, 652KB, 下载0次)
[模式识别(视觉/语音等)] Speaker-Recognition
说话人识别、使用GMM和MFCC进行语音特征提取的说话人识别。此应用程序识别具有...的注册扬声器...
Speaker Recognition using GMM and MFCC for feature extraction of voice. This app recognizes a registered speaker with an accuracy of 97%. (2021-04-23, Python, 23367KB, 下载0次)
[模式识别(视觉/语音等)] -from-Computerized-Tomography-using-Deep-Learning
COVID-19的风险分析-来自计算机断层扫描-使用深度学习，。。。算法的性能最好，准确率为97.3%...
This study aimed to describe the prediction of COVID-19 using chest CT images by using GAN for resampling depending on deep transfer learning models and machine learning (ML) algorithms and risk analysis of patients based on traditional machine learning. The dataset consisted of 8129 samples in two classes, including 5927 CT chest images of (2022-07-07, Jupyter Notebook, 5950KB, 下载0次)
[模式识别(视觉/语音等)] Malaria_detection
疟疾检测，在FastAI图书馆的帮助下，构建一个准确率为97%的疟疾分类器
Malaria_detection,With the help of FastAI libraries building an malaria classifier with an 97% accuracy (2019-07-30, Jupyter Notebook, 798KB, 下载0次)
[模式识别(视觉/语音等)] maix3_opencv_python
maix3_opencv_python，用于MAIX-II Dock的opencv-python的Docker生成器（Allwinner V831:Cortex-A7和0.2TOPS NPU）
maix3_opencv_python,Docker builder for opencv-python for MAIX-II Dock ( Allwinner V831: Cortex-A7 and 0.2TOPS NPU ) (2022-06-21, Shell, 8KB, 下载0次)
[模式识别(视觉/语音等)] OpenCVImageProcessing
OpenCVImageProcessing,CSDN专栏:OpenCV图像处理([http: blog.csdn.net column details opencv- image.html&page=3)的代码实现。](http: blog.csdn.net column details opencv- image.html&page=3\)%E7%9A%84%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0%E3%80%82)
OpenCVImageProcessing, CSDN Column: Code Implementation of OpenCV Image Processing ([http: blog. csdn. net column details opencv - image. html&page=3).] (http: blog. csdn. net column details opencv - image. html&page=3 )% E7% 9A% 84% E4% BB% A3% E7% A0% 81% E5% AE% 9E% E7% 8E% B0% E3% 80% 82) (2018-01-12, C++, 749KB, 下载0次)
[模式识别(视觉/语音等)] e5
使用监督分类的方法对图像进行分类，选取了三种不同颜色区域的样本进行训练
The supervised classification method was used to classify the images, and samples of three different color areas were selected for training (2020-05-30, matlab, 1KB, 下载0次)