公开(公告)号：US07769235B2

公开(公告)日：2010-08-03

申请号：US10241638

申请日：2002-09-12

Applicant: Konstantin Anisimovich ,  Vadim Tereshchenko ,  Vladimir Rybkin ,  Sergey Platonov

Inventor： Konstantin Anisimovich ,  Vadim Tereshchenko ,  Vladimir Rybkin ,  Sergey Platonov

IPC: G06K9/46 ,  G06K9/68

CPC classification number: G06K9/6255 ,  G06K9/72 ,  G06K2209/01

Abstract: 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.

Abstract translation: 本发明公开了一种从光学扫描装置接收的位图图形文件的字符和文本识别方法。 该方法包括可训练的模板高速缓存，预先训练的特征分析装置和上下文分析装置。 本发明公开了使用所述装置获得最佳识别结果的方法。 该方法假设模板高速缓存与上下文分析装置一起被用作主要形状特征分析装置。 将特征分析装置与上下文分析装置一起用作辅助形状特征分析装置以及作为模板高速缓存的训练装置。 该方法包括应用主形状特征分析装置，并且如果在模板高速缓存分析之后没有获得足够的识别可靠性，则可选地应用辅助形状特征分析装置。 获得的结果被分析并发送到模板缓存用于模板训练。