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Computación y Sistemas

versión impresa ISSN 1405-5546

Resumen

MANSOURI, Sadek; CHARHAD, Mbarek  y  ZRIGUI, Mounir. A Heuristic Approach to Detect and Localize Text in Arabic News Video. Comp. y Sist. [online]. 2018, vol.22, n.1, pp.75-82. ISSN 1405-5546.  https://doi.org/10.13053/cys-22-1-2774.

Automatic text detection in video sequences remains a challenging problem due to the variety of sizes, colors and the presence of complex background. In this paper, we attempt to solve this problem by proposing a robust detection-validation schema for text localization in Arabic news video. Candidate text regions are first detected by using a hybrid method which combines MSER detector and edge information. Then, these regions are grouped using morphological operators. Finally, a verification process is applied to remove noisy non-text regions including specific features for Arabic text. Performance and efficacy of the proposed text detection approach have been tested By using Arabic-Text-in-Video database (AcTiV-DB).

Palabras llave : Arabic text detection; LSD; AcTiV-DB.

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