发明名称 |
Text recognition method using a trainable classifier |
摘要 |
The present invention discloses a method of character and text recognition of a bit-mapped graphic file received from an optical scanning device. The method comprises a trainable template cache, a preliminarily trained feature analysis means, and a context analysis means. The present invention discloses the way to use said means for achieving the best results in recognition. The method supposes that the template cache along with the context analysis means are used as the main shape characteristic analyzing means. The feature analysis means along with the context analysis means are used as subsidiary shape characteristic analyzing means and as a training means for the template cache. The method comprises applying the main shape characteristic analyzing means and optionally applying the subsidiary shape characteristic analyzing means if no or not enough reliability of recognition is achieved after the template cache analyzing. The obtained results are analyzed and sent to the template cache for template training.
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申请公布号 |
US7769235(B2) |
申请公布日期 |
2010.08.03 |
申请号 |
US20020241638 |
申请日期 |
2002.09.12 |
申请人 |
ABBYY SOFTWARE LTD |
发明人 |
ANISIMOVICH KONSTANTIN;TERESHCHENKO VADIM;RYBKIN VLADIMIR;PLATONOV SERGEY |
分类号 |
G06K9/46;G06K9/66;G06K9/62;G06K9/68;G06K9/72 |
主分类号 |
G06K9/46 |
代理机构 |
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地址 |
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