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Font finder: Visual recognition of typeface in printed documents

Bui, Tu and Collomosse, J (2015) Font finder: Visual recognition of typeface in printed documents In: 2015 IEEE International Conference on Image Processing (ICIP), 27-30 Sept. 2015, Quebec City, Canada.

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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.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Collomosse, J
Date : 10 December 2015
DOI : 10.1109/ICIP.2015.7351541
Uncontrolled Keywords : Optical Font Recognition (OFR), Typeface Classification, Logistic Regression
Depositing User : Melanie Hughes
Date Deposited : 18 Sep 2018 14:16
Last Modified : 18 Sep 2018 14:16

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