Invention Grant
US08509537B2 Learning weights of fonts for typed samples in handwritten keyword spotting
有权
学习手写关键词点样中类型样本的字体权重
- Patent Title: Learning weights of fonts for typed samples in handwritten keyword spotting
- Patent Title (中): 学习手写关键词点样中类型样本的字体权重
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Application No.: US12851092Application Date: 2010-08-05
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Publication No.: US08509537B2Publication Date: 2013-08-13
- Inventor: Florent C. Perronnin , Thierry Lehoux , Francois Ragnet
- Applicant: Florent C. Perronnin , Thierry Lehoux , Francois Ragnet
- 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 ; G06K9/62 ; G06K9/72

Abstract:
A wordspotting system and method are disclosed. The method includes receiving a keyword and, for each of a set of typographical fonts, synthesizing a word image based on the keyword. A keyword model is trained based on the synthesized word images and the respective weights for each of the set of typographical fonts. Using the trained keyword model, handwritten word images of a collection of handwritten word images which match the keyword are identified. The weights allow a large set of fonts to be considered, with the weights indicating the relative relevance of each font for modeling a set of handwritten word images.
Public/Granted literature
- US20120033874A1 Learning weights of fonts for typed samples in handwritten keyword spotting Public/Granted day:2012-02-09
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