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公开(公告)号：US08150159B2
公开(公告)日：2012-04-03
申请号：US12396523
申请日：2009-03-03
申请人： Jiaming He , Jianfen Wen , Dexiang Jia , Jing Chen , Ping Chen , Chengchen Ma , Zhouyi Fan , Hongzhen Ding , Zhihui Shi , Aijun Shi , Linghui Fan , Qingbo Zhang
发明人： Jiaming He , Jianfen Wen , Dexiang Jia , Jing Chen , Ping Chen , Chengchen Ma , Zhouyi Fan , Hongzhen Ding , Zhihui Shi , Aijun Shi , Linghui Fan , Qingbo Zhang
IPC分类号： G06K9/18
CPC分类号： G06K9/00422 , G06K9/00416
摘要： The present invention discloses an identifying method of hand-written Latin letter. The present invention considers many hand-written styles of Latin letter, extract many stable characteristics of Latin letter of different hand-written styles, and classify the Latin letter aggregation each time with one characteristic, so that the whole standard Latin letter aggregation is classified into many small Latin letter aggregations with intersection to be the coarse classification candidate letter aggregations to be identified. When identifying the inputted hand-written Latin letter, obtain the coarse classification candidate letter aggregation that matches with the characteristics of the inputted hand-written Latin letter. Many stable characteristics ensure the identifying rate. The multilayer coarse classification candidate letter aggregations regulate the searching path and increase the identifying speed.
摘要翻译： 本发明公开了一种手写拉丁字母的识别方法。 本发明考虑了拉丁字母的许多手写风格，提取了不同手写风格的拉丁字母的许多稳定特征，并且每次用拉丁字母聚集分类拉丁字母聚合，使整个标准拉丁字母聚集分为 许多小的拉丁字母聚集与交集作为粗分类候选字母聚合被识别。 当识别输入的手写拉丁字母时，获得与输入的手写拉丁字母的特征相匹配的粗分类候选字母聚合。 许多稳定的特性确保识别率。 多层粗分类候选字母聚集调节搜索路径，提高识别速度。
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公开(公告)号：US08254686B2
公开(公告)日：2012-08-28
申请号：US12276284
申请日：2008-11-21
申请人： Jiaming He , Jianfen Wen , Dexiang Jia , Jing Chen , Ping Chen , Chengchen Ma , Zhouyi Fan , Hongzhen Ding , Zhihui Shi , Aijun Shi , Linghui Fan
发明人： Jiaming He , Jianfen Wen , Dexiang Jia , Jing Chen , Ping Chen , Chengchen Ma , Zhouyi Fan , Hongzhen Ding , Zhihui Shi , Aijun Shi , Linghui Fan
CPC分类号： G06K9/00409 , G06K9/00422
摘要： The present invention discloses an on-line identifying method of hand-written Arabic letter. The advantage of the present invention is that the multilayer coarse classification algorithm based on the local characteristic of Arabic letter fully utilize the various local characteristics of Arabic letter, obtain the first candidate letter aggregation matching with the inputted hand-written Arabic letter according to the first level coarse classification formed by the stroke number of letter, and then obtain the second candidate letter aggregation matching with inputted hand-written Arabic letter according to the other local characteristics and the first candidate letter aggregation. The application of the algorithm enables that the inputted hand-written Arabic letter only need to match with the standard letter stored in the predetermined letter library and the corresponding standard letters of the second candidate letter aggregation.
摘要翻译： 本发明公开了一种手写阿拉伯信的在线识别方法。 本发明的优点是，基于阿拉伯语的本地特征的多层粗分类算法充分利用了阿拉伯语字的各种局部特征，根据第一个字母获得与输入的手写阿拉伯语字母的第一候选字母聚合匹配 根据其他本地特征和第一候选字母聚合获得与输入的手写阿拉伯语字母的第二候选字母聚合匹配。 该算法的应用使得输入的手写阿拉伯语字母仅需要与存储在预定字母库中的标准字母和第二候选字母聚合的相应标准字母匹配。
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公开(公告)号：US20100135576A1
公开(公告)日：2010-06-03
申请号：US12396523
申请日：2009-03-03
申请人： Jiaming He , Jianfen Wen , Dexiang Jia , Jing Chen , Ping Chen , Chengchen Ma , Zhouyi Fan , Hongzhen Ding , Zhihui Shi , Aijun Shi , Linghui Fan , Qingbo Zhang
发明人： Jiaming He , Jianfen Wen , Dexiang Jia , Jing Chen , Ping Chen , Chengchen Ma , Zhouyi Fan , Hongzhen Ding , Zhihui Shi , Aijun Shi , Linghui Fan , Qingbo Zhang
CPC分类号： G06K9/00422 , G06K9/00416
摘要： The present invention discloses an identifying method of hand-written Latin letter. The present invention considers many hand-written styles of Latin letter, extract many stable characteristics of Latin letter of different hand-written styles, and classify the Latin letter aggregation each time with one characteristic, so that the whole standard Latin letter aggregation is classified into many small Latin letter aggregations with intersection to be the coarse classification candidate letter aggregations to be identified. When identifying the inputted hand-written Latin letter, obtain the coarse classification candidate letter aggregation that matches with the characteristics of the inputted hand-written Latin letter. Many stable characteristics ensure the identifying rate. The multilayer coarse classification candidate letter aggregations regulate the searching path and increase the identifying speed.
摘要翻译： 本发明公开了一种手写拉丁字母的识别方法。 本发明考虑了拉丁字母的许多手写风格，提取了不同手写风格的拉丁字母的许多稳定特征，并且每次用拉丁字母聚集分类拉丁字母汇总，使得整个标准拉丁字母聚合被分类为 许多小的拉丁字母聚集与交集作为粗分类候选字母聚合被识别。 当识别输入的手写拉丁字母时，获得与输入的手写拉丁字母的特征相匹配的粗分类候选字母聚合。 许多稳定的特性确保识别率。 多层粗分类候选字母聚集调节搜索路径，提高识别速度。
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公开(公告)号：US20100080463A1
公开(公告)日：2010-04-01
申请号：US12276284
申请日：2008-11-21
申请人： Jiaming He , Jianfen Wen , Dexiang Jia , Jing Chen , Ping Chen , Chengchen Ma , Zhouyi Fan , Hongzhen Ding , Zhihui Shi , Aijun Shi , Linghui Fan
发明人： Jiaming He , Jianfen Wen , Dexiang Jia , Jing Chen , Ping Chen , Chengchen Ma , Zhouyi Fan , Hongzhen Ding , Zhihui Shi , Aijun Shi , Linghui Fan
IPC分类号： G06K9/18
CPC分类号： G06K9/00409 , G06K9/00422
摘要： The present invention discloses an on-line identifying method of hand-written Arabic letter. The advantage of the present invention is that the multilayer coarse classification algorithm based on the local characteristic of Arabic letter fully utilize the various local characteristics of Arabic letter, obtain the first candidate letter aggregation matching with the inputted hand-written Arabic letter according to the first level coarse classification formed by the stroke number of letter, and then obtain the second candidate letter aggregation matching with inputted hand-written Arabic letter according to the other local characteristics and the first candidate letter aggregation. The application of the algorithm enables that the inputted hand-written Arabic letter only need to match with the standard letter stored in the predetermined letter library and the corresponding standard letters of the second candidate letter aggregation.
摘要翻译： 本发明公开了一种手写阿拉伯信的在线识别方法。 本发明的优点是，基于阿拉伯语的本地特征的多层粗分类算法充分利用了阿拉伯语字的各种局部特征，根据第一个字母获得与输入的手写阿拉伯语字母的第一候选字母聚合匹配 根据其他本地特征和第一候选字母聚合获得与输入的手写阿拉伯语字母的第二候选字母聚合匹配。 该算法的应用使得输入的手写阿拉伯语字母仅需要与存储在预定字母库中的标准字母和第二候选字母聚合的相应标准字母匹配。
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