CONF chen-rr-CVPR2001/IDIAP Text Identification in Complex Background using SVM Chen, Datong Bourlard, Hervé Thiran, Jean-Philippe https://publications.idiap.ch/index.php/publications/showcite/chen-rr-01-20 Related documents Proceedings of the Int. Conf. on computer vision and pattern recognition 2001 Hawaii, USA December 2001 Published in Proceeding of the Int. Conf. on computer vision and pattern recognition, 2001. This paper presents a fast and robust algorithm to identify text in image or video frames with complex backgrounds and compression effects. The algorithm first extracts the candidate text line on the basis of edge analysis, baseline location and heuristic constraints. Support Vector Machine (SVM) is then used to identify text line from the candidates in edge-based distance map feature space. Experiments based on large amount of images and video frames from different sources showed the advantages of this algorithm compared to conventional methods in both identification quality and computation time. REPORT chen-rr-01-20/IDIAP Text Identification in Complex Background using SVM Chen, Datong Bourlard, Hervé Thiran, Jean-Philippe EXTERNAL https://publications.idiap.ch/attachments/reports/2001/rr01-20.pdf PUBLIC Idiap-RR-20-2001 2001 IDIAP December 2001 This paper presents a fast and robust algorithm to identify text in image or video frames with complex backgrounds and compression effects. The algorithm first extracts the candidate text line on the basis of edge analysis, baseline location and heuristic constraints. Support Vector Machine (SVM) is then used to identify text line from the candidates in edge-based distance map feature space. Experiments based on large amount of images and video frames from different sources showed the advantages of this algorithm compared to conventional methods in both identification quality and computation time.