发明名称 METHOD FOR IDENTIFYING A CHARACTER IN A DIGITAL IMAGE
摘要 The invention relates to a method for combining a first Optical Character Recognition (OCR) and a second OCR. The first OCR is run first on an image of string of characters. Its output (first identified characters, positions of the characters and likelihood parameters of the characters) is used to generate a first graph. Segmentation points related to the positions of the first identified characters are used as input by the second OCR performing a combined segmentation and classification on the image of string of characters. The output (second identified characters, positions of the characters and likelihood parameters of the characters) of the second OCR is used to update the first graph to generate a second graph that combines the output of the first OCR with the output of the second OCR. Decision models are then used to modify the weights of paths in the second graph to generate a third graph. A best path is determined on the third graph to obtain the identification of the characters present in the image of string of characters.
申请公布号 US2017109573(A1) 申请公布日期 2017.04.20
申请号 US201514884361 申请日期 2015.10.15
申请人 I.R.I.S. 发明人 Collet Frederic;Hautot Jordi;Dauw Michel
分类号 G06K9/00;G06K9/62;G06K9/68 主分类号 G06K9/00
代理机构 代理人
主权项 1. A method for selecting character candidates in a method for identifying characters in a digital image, the method comprising the steps of: a) applying a first character identification process to determine first character candidates and a list of segmentation points of the first character candidates, b) generating a list of character widths corresponding to a segmentation point from the list of segmentation points, c) determining a portion of the digital image corresponding to the segmentation point and a character width from the list of character widths, d) applying a character classification method on the portion of the digital image to obtain an ID hypothesis of a character possibly present in the portion of the digital image and a likelihood parameter that relates to a likelihood that the ID hypothesis is correct, and e) selecting the ID hypothesis as a second character candidate in the digital image if the likelihood parameter fulfils a first predetermined criterion.
地址 Mont-Saint-Guibert BE