Text detection and recognition in images and video frames |
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Authors: | Datong Chen [Author Vitae] Jean-Marc Odobez [Author Vitae]Author Vitae] |
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Affiliation: | Dalle molle Institute for Perceptual Artificial Intelligence (IDIAP), Rue du Simplon 4, Case postale 592, CH 1920 Martigny, Switzerland |
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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. |
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Keywords: | Text localization Text segmentation Text recognition SVM MRF Video OCR |
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