发明名称 OPTICAL CHARACTER RECOGNITION METHOD
摘要 The optical character recognition method applies a first OCR engine to provide an identification of characters of at least a first type of characters and zones of at least a second type of characters in the character string image. A second OCR engine is applied on the zones of the at least second type of characters to provide an identification of characters of a second type of characters. The characters identified by the first OCR engine and by the second OCR engine are in a further step combined to obtain the identification of the characters of the character string image.
申请公布号 US2015356365(A1) 申请公布日期 2015.12.10
申请号 US201414299205 申请日期 2014.06.09
申请人 Collet Frederic;Hautot Jordi;Dauw Michel;De Muelenaere Pierre;Dupont Olivier;Hensges Gunter 发明人 Collet Frederic;Hautot Jordi;Dauw Michel;De Muelenaere Pierre;Dupont Olivier;Hensges Gunter
分类号 G06K9/18;G06K9/34 主分类号 G06K9/18
代理机构 代理人
主权项 1. A method for identifying characters in a character string image, the method comprising: (i) applying a first OCR engine to provide an identification of characters of at least a first type of characters and zones of at least a second type of characters in the character string image, (ii) applying on the zones of the at least second type of characters a second OCR engine to provide an identification of characters of a second type of characters, and (iii) combining the characters identified by the first OCR engine and by the second OCR engine to obtain the identification of the characters of the character string image, wherein the first OCR engine comprises a segmentation of the character string image into segmentation parts, and comprises, for each segmentation part the steps of (a) applying a first character classification to provide a first plurality of hypotheses on an at least one character represented by the segmentation part 351 and a first plurality of probabilities associated with the hypotheses, (b) verifying if the first plurality of hypotheses satisfies at least one condition, (c) if at least one condition is satisfied, applying a second character classification to provide a second plurality of hypotheses on the at least one character represented by the segmentation part and a second plurality of probabilities associated with the hypotheses.
地址 Etterbeek BE