DocumentCode :
2015993
Title :
Segmentation of Very Low Resolution Screen-Rendered Text
Author :
Wachenfeld, Steffen ; Klein, Hans-Ulrich ; Fleischer, Stefan ; Jiang, Xiaoyi
Author_Institution :
Univ. of Munster, Munster
Volume :
2
fYear :
2007
fDate :
23-26 Sept. 2007
Firstpage :
1153
Lastpage :
1157
Abstract :
The lower the resolution of a given text is, the more difficult it becomes to segment it into single characters. The resolution of screen-rendered text can be very low. This paper focuses on smoothed screen-rendered text of very low resolution with typical x-heights of 4 to 7 pixels which is much lower than in other low resolution OCR situations. We propose a recognition-based segmentation algorithm which makes use of over segmentation by dynamic programming, candidate rating by single character classifiers and a graph based search algorithm for an optimal cut sequence. The algorithm is described in detail and experimental results are presented which show the performance on example screen- shot images taken from the public Screen-Word database.
Keywords :
dynamic programming; graph theory; image classification; image resolution; image segmentation; search problems; text analysis; character classifiers; dynamic programming; graph based search algorithm; optimal cut sequence; recognition-based segmentation algorithm; screen-rendered text resolution; very low resolution screen-rendered text; Character recognition; Classification algorithms; Computer science; Computer vision; Dynamic programming; Focusing; Image databases; Image segmentation; Optical character recognition software; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
Conference_Location :
Parana
ISSN :
1520-5363
Print_ISBN :
978-0-7695-2822-9
Type :
conf
DOI :
10.1109/ICDAR.2007.4377096
Filename :
4377096
Link To Document :
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