Invention Grant
- Patent Title: Text vectorization using OCR and stroke structure modeling
- Patent Title (中): 使用OCR和笔画结构建模的文本向量化
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Application No.: US12332913Application Date: 2008-12-11
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Publication No.: US08244038B2Publication Date: 2012-08-14
- Inventor: Zhigang Fan , Francis K. Tse , Bingfeng Zhou , Yadong Mu , Tao He
- Applicant: Zhigang Fan , Francis K. Tse , Bingfeng Zhou , Yadong Mu , Tao He
- Applicant Address: US CT Norwalk
- Assignee: Xerox Corporation
- Current Assignee: Xerox Corporation
- Current Assignee Address: US CT Norwalk
- Agency: Fay Sharpe LLP
- Main IPC: G06K9/18
- IPC: G06K9/18

Abstract:
Systems and methods are described that facilitate dominant point detection for text in a scanned document. The dominant points are classified as “major” (e.g., structural) and “minor” (e.g., serif). A set of rules or parameters for each character is determined off-line. During the text vectorization, OCR is performed and the rules (parameters) associated with the recognized character are selected. Both major and minor dominant points are detected as a maximization process with the parameter set. For minor dominant points, additional processes are optionally employed.
Public/Granted literature
- US20100150445A1 TEXT VECTORIZATION USING OCR AND STROKE STRUCTURE MODELING Public/Granted day:2010-06-17
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