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