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Text detection and recognition in images and video frames

Identifieur interne : 001612 ( Main/Exploration ); précédent : 001611; suivant : 001613

Text detection and recognition in images and video frames

Auteurs : D. Chen [Suisse] ; J. M. Odobez ; H. Bourlard

Source :

RBID : Pascal:04-0085114

Descripteurs français

English descriptors

Abstract

This paper presents a new method for detecting and recognizing text in complex images and video frames. Text detection is performed in a two-step approach that combines the speed of a text localization step, enabling text size normalization, with the strength of a machine learning text verification step applied on background independent features. Text recognition, applied on the detected text lines, is addressed by a text segmentation step followed by an traditional OCR algorithm within a multi-hypotheses framework relying on multiple segments, language modeling and OCR statistics. Experiments conducted on large databases of real broadcast documents demonstrate the validity of our approach. © 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.


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Le document en format XML

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<div type="abstract" xml:lang="en">This paper presents a new method for detecting and recognizing text in complex images and video frames. Text detection is performed in a two-step approach that combines the speed of a text localization step, enabling text size normalization, with the strength of a machine learning text verification step applied on background independent features. Text recognition, applied on the detected text lines, is addressed by a text segmentation step followed by an traditional OCR algorithm within a multi-hypotheses framework relying on multiple segments, language modeling and OCR statistics. Experiments conducted on large databases of real broadcast documents demonstrate the validity of our approach. © 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.</div>
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