DocumentCode :
3067786
Title :
“Text detection and its segmentation from TV screen”
Author :
Kukolj, Sandra ; Kastelan, I. ; Drca, S. ; Ivetic, B.
Author_Institution :
Fak. Teh. Nauka, Univ. u Novom Sadu, Novi Sad, Serbia
fYear :
2012
fDate :
20-22 Nov. 2012
Firstpage :
1617
Lastpage :
1620
Abstract :
This paper presents a system for text extraction on images taken by grabbing the content from the TV screen. The main tendency is the image preparation for the OCR to improve its accuracy. Recognized text is used for automatic generation of TV menu system structure, which is used for verification of TV set operation. This system is used as a part of Black Box Testing system in order to test and functionally verify TV set operation. The improvement is tested on the range of the full image dimensions and the results are compared with those for the original image. The proposed method is robust for different text fonts and styles, and the results show a improvement in character recognition accuracy.
Keywords :
television; text detection; OCR; TV menu system structure; TV screen; TV set operation; black box testing system; character recognition accuracy; text detection; text extraction; text fonts; text segmentation; Character recognition; Digital TV; Image segmentation; Optical character recognition software; Signal processing; Testing; ekstrakcija; lokalizacija; segmentacija;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications Forum (TELFOR), 2012 20th
Conference_Location :
Belgrade
Print_ISBN :
978-1-4673-2983-5
Type :
conf
DOI :
10.1109/TELFOR.2012.6419533
Filename :
6419533
Link To Document :
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