IEEJ Transactions on Electronics, Information and Systems
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
<Speech and Image Processing, Recognition>
Recognition of Telops in Arabic News Broadcasting
Seiya IwataWataru OhyamaTetsushi WakabayashiFumitaka Kimura
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2016 Volume 136 Issue 12 Pages 1668-1676

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Abstract

The authors have conducted studies on Arabic telop recognition to develop a system for video retrieval by keyword to index and edit Arabic broadcast programs received daily and stored in a big database. This paper describes a dedicated OCR for recognizing low resolution telop in video images. A telop recognition system consisting of text line extraction, word segmentation and segmentation-recognition of words is developed and the performance was experimentally evaluated using datasets of frame images extracted from AlJazeera broadcasting programs. Character recognition of moving telop is difficult due to combing noise caused by the interlacing of scan-lines. A technique to detect and eliminate the combing noise to correctly recognize the moving telop is proposed. This paper also proposes a technique based on insertion operation with minimum edit distance between successive two telops to connect them. The method to connect the moving telops is necessary for automatic language translation. The proposed method using edit distance for bi-gram sequence of telops (Method-B) is shown to be robust to recognition error of characters and successfully connect the telops.

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© 2016 by the Institute of Electrical Engineers of Japan
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