Segmentation of Very Low Resolution Screen-Rendered Text

Wachenfeld Steffen, Klein Hans-Ulrich, Fleischer Stefan, Jiang Xiaoyi


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
Recognition; Character Segmentation; Screen-Rendered Text; OCR



Publication type
Research article in proceedings (conference)

Peer reviewed
Yes

Publication status
Published

Year
2007

Conference
9th International Conference on Document Analysis and Recognition (ICDAR 2007)

Venue
Curitiba, Paraná, Brazil

Start page
1153

End page
1157

Volume
2

Language
English