DocumentCode
2543084
Title
DCT Feature Based Text Capturing and Tracking
Author
Shi, Jianyong ; Luo, Xiling ; Zhang, Jun
Author_Institution
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
fYear
2009
fDate
4-6 Nov. 2009
Firstpage
1
Lastpage
4
Abstract
An autonomous text capturing and tracking method for digital video is proposed in this paper. Frames are divided into blocks. Text blocks are extracted first using a discrete cosine transformation (DCT) based method, then the optimal text region is extracted from duplicate regions within the consecutive frames using the method of text tracking, and is used as an input for optical character recognition (OCR) system. With the reduction of duplicate regions and optimization of region extraction, OCR´s recognition efficiency and accuracy are both improved.
Keywords
discrete cosine transforms; feature extraction; optical character recognition; tracking; video signal processing; DCT feature; digital video; discrete cosine transformation; optical character recognition system; region extraction; text capturing; text tracking; Character recognition; Data mining; Discrete cosine transforms; Gold; Histograms; Motion estimation; Optical character recognition software; Robots; Text analysis; Text recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4199-0
Type
conf
DOI
10.1109/CCPR.2009.5344105
Filename
5344105
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