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ICDAR
2009
IEEE

Text Detection and Localization in Complex Scene Images using Constrained AdaBoost Algorithm

9 years 9 months ago
Text Detection and Localization in Complex Scene Images using Constrained AdaBoost Algorithm
We have proposed a complete system for text detection and localization in gray scale scene images. A boosting framework integrating feature and weak classifier selection based on computational complexity is proposed to construct efficient text detectors. The proposed scheme uses a small set of heterogeneous features which are spatially combined to build a large set of features. A neural network based localizer learns necessary rules for localization. The evaluation is done on the challenging ICDAR 2003 robust reading and text locating database. The results are encouraging and our system can localize text of various font sizes and styles in complex background.
Shehzad Muhammad Hanif, Lionel Prevost
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICDAR
Authors Shehzad Muhammad Hanif, Lionel Prevost
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