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Java编写的手写数字识别器源代码
- 用Java编写的手写数字识别器源代码。能够对手写数字有很好的识别能力。经过试验，适应性还是比较强的。-Java prepared with hand-written numeral recognition source code browser. Figures to have a good handwriting recognition. After testing, adaptation is still relatively strong.
handwriting(JAVA)
- 手写输入原笔迹的JAVA实现,最终实现原笔迹输入-JAVA implementation of the original handwriting of the handwriting input
ExcelDemo
- java关于存手写的对于导入数据库的方式使用的方式是excel的方式-handwriting on the deposit of java into the database for the use of the approach is the way excel
attachments_2009_07_21
- src are source codes for a manual cropping system, while new folder is a face detection system via skin tone.
neural
- neural network based handwriting recognition using java
HanziLookup-src
- A Chinese character dictionary app using (crude) handwriting recognition. This is a version of an older lookup app using the newer lookup component. Jar file should be directly runnable as both an Applet and as a stand-alone app. -A Chinese cha
sxszsb.Java
- Java写的手写数字识别软件，简单实现对手写数字的识别。-Java software is written in handwriting digit recognition, simple implementation of handwritten digits recognition.
online_ks
- 本系统使用自己手写的类似struts1.x的开源框架+Servelt+JSP+JSTL+EL+AJAX 等技术； 运用Dao设计模式,使业务模块屏蔽底层的数据访问的细节,及使业务和具体的 实现无关 运用MVC的架构模式,其中Servlet充当contronller java类充当model，封装业 务逻辑 Jsp充当逻辑视图view 数据访问层运用Hibernate来实现 为了使JSP页面易于维护,引入了JSTL+EL 项目 数
CalendarManager
- 日程安排、提醒，全部自己手写，对初学者应该很有帮助-Scheduling, reminders, all his handwriting, should be helpful for beginners
MiMiddlet
- OCR Aplet Handwriting
hanzidict
- 用Java/ Swing开发的中文手写识别组件。 (包含源码) 很不错的例子-Chinese character handwriting recognition component written in Java/Swing. (included source code)- Very good examples!
ML_project
- 程序是对手写体数字进行识别，用knn算法，代码编写是用java。训练样本和验证样本都在代码中提供了。-The program is to handwriting figures to identify, with knn algorithm, the code is written with java. Training samples and validation samples are provided in the code.
Handwriten
- 用java编写的手写体数字识别，采用knn方法，识别的训练和测试对象来自mnist数据库的数据，已经将解压后文件放进去了，算法包括文件的读取，测试部分还有识别算法。 -Written by java handwriting digital recognition, using knn method to identify the training and test objects the mnist data, has been extracted after the file into t