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digital
- 用VC++实现印刷体数字的自动识别,首先,打开图像(256色);再次,进行归一化处理,点击“一次性处理”;最后,点击“R”或者使用菜单找到相应项来进行识别。识别的结果显示在屏幕上,同时也输出到文件result.txt中。 该系统的识别率一般情况下为90 。 此外,也可以单独对打开的图片一步一步进行图像预处理工作,但要注意,每一步工作只能执行一遍,而且要按顺序执行。 具体步骤为:“256色位图转为灰度图”-“灰度图二值化”-“去噪”-“倾斜校正”-“分割”-“标准化尺寸”-
sharpictclas
- 中科院分词系统的CSharp版,采用隐马尔科夫模型,识别率非常高-Word Segmentation System, Chinese Academy of Sciences CSharp version
alphabetoletter
- 可以同时实现完整拼音和首字母的转换,识别率比较高,扩展后可以进行各项应用,分别为拼音首字母缩写和全拼转换函数-Can simultaneously achieve a complete alphabet and the first letter of the conversion, recognition rate is relatively high, the application can be extended in respect of the acronym and spelling
DevMYOCR
- C#截图软件,C#的图像文字识别软件。基于OFFICE DOCUMENT IMAGING的图形识别OCR,识别率非常高!-C# screenshots software, C# image text recognition software. OFFICE, DOCUMENT IMAGING-based graphics recognition OCR recognition rate is very high!
YZM
- 基于C#的验证码识别,基于灰度转换,识别率达到95.此代码仅供学习参考,补课用于商业用途。-Based on the c# verification code identification, based on gray level conversion, recognition rate reached 95. This code is only for the study, make up a missed lesson used for commercial purposes.
cpjqdwym
- 车牌精确定位,定位精度大于99 ,非常值得参考,能够有效提高车牌识别率-Plate precise positioning, positioning accuracy is greater than 99 , a very good reference, can effectively improve the rate of license plate recognition
pangusegment-63555
- 用于实现盘古分词 可以同时实现完整拼音和首字母的转换,识别率比较高,扩展后可以进行各项应用,特别推荐给大家 App_code下StrToPinyin.cs和ConvertHzToPz_Gb2312.cs分别为拼音首字母缩写和全拼转换函数-Used to implement the pangu participle Can achieve complete the transformation of the initials of the pinyin and at
KuwoAutoReg
- 酷我网站自动登录,自动识别注册码示例,处理图片获得图片特征码学习库,通过识别库来判断验证码,学习的验证码越多,识别率就越高-Cool my site automatically log, automatic identification registration code examples, with pictures to get pictures signature learning libraries, through recognition library to determine th
ImageRecognition
- 智能识别,很基础的东西,可以识别不是很复杂的验证码,识别率还好-Intelligent recognition, very basic things, you can identify verification code is not very complex, but fortunately, the recognition rate
1-LEd
- 现在,基于视觉的手势识别中起着重要的在图像处理领域的作用,模式识别等在。人类的手是高度可变的器官和手特点是很容易受到各种环境因素的影响。考虑到手势的特性,在本文中我们提出了一种改进的YCbCr颜色空间的分割方法手势图像,并提取傅里叶描述子和胡矩作为识别特征。最后,Hausdorff距离用于识别手势的建模方法匹配。实验结果表明,提出的方法具有较高的操作和识别率。 关键词:-Now vision-based gesture recognition plays an important rol
shuzishibie
- 基于tesseract 的数字识别,能识别简单的数字,识别率100 ,值得学习。-Based on Tesseract digital identification, can identify a simple figure, the recognition rate of 100 , it is worth learning.
Luxand_FaceSDK_DemoC#
- Luxand_FaceSDK人脸识别功能,c#直接调用现有的dll,识别率不错(Luxand_FaceSDK face recognition function, c# directly call the existing DLL, the recognition rate is good)