公开(公告)号：US20200311413A1

公开(公告)日：2020-10-01

申请号：US16368304

申请日：2019-03-28

Applicant: Konica Minolta Laboratory U.S.A., Inc.

Inventor： Yongmian ZHANG ,  Shubham AGARWAL

IPC: G06K9/00 ,  G06K9/62

Abstract: Image processing is performed on an input image generated from scanning a filled-in document form. The input image is evaluated against a blank version of various document forms in order to identify the form type of the filled-in document form. The evaluation results in identifying one of the blank document forms as a match to the filled-in document form. Each document form has a set of keywords. The evaluation uses a vector of keyword matches in the filled-in document form. Once a blank document form is identified to be match, the filled-in document form may be categorized according to that document form and/or data extracted from the filled-in document may be stored in association with keywords of that document form.

公开(公告)号：US20200311411A1

公开(公告)日：2020-10-01

申请号：US16368312

申请日：2019-03-28

Applicant: Konica Minolta Laboratory U.S.A., Inc.

Inventor： Shubham AGARWAL ,  Yongmian ZHANG

IPC: G06K9/00 ,  G06F17/27

Abstract: A text recognition method and system involves computing a text matching score between an input text and an output candidate text. The text matching score is computed by evaluating respective N-grams of the input text and the output candidate text. The N-grams are compared in pairs for visual similarity by determining N-gram pair scores, which are used to compute the text matching score. The N-gram pair scores are determined using a set of probabilities of confusion between characters contained in the N-grams. The described approach can address inconsistent results that arise from conventional text similarity quantifiers.