FONT FINDER: VISUAL RECOGNITION OF TYPEFACE IN PRINTED DOCUMENTS

被引：0

作者：

Bui, Tu ^{[1
]}

Collomosse, John ^{[1
]}

机构：

[1] Univ Surrey, Ctr Vis Speech & Signal Proc, Guildford GU2 5XH, Surrey, England

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2015年

关键词：

Optical Font Recognition (OFR); Typeface Classification; Logistic Regression;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We describe a novel algorithm for visually identifying the font used in a scanned printed document. Our algorithm requires no pre-recognition of characters in the string (i. e. optical character recognition). Gradient orientation features are collected local the character boundaries, and quantized into a hierarchical Bag of Visual Words representation. Following stop-word analysis, classification via logistic regression (LR) of the codebooked features yields per-character probabilities which are combined across the string to decide the posterior for each font. We achieve 93.4 % accuracy over a 1000 font database of scanned printed text comprising Latin characters.

引用

页码：3926 / 3930

页数：5

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