Title :
Text Extraction in Video Images
Author :
Yen, Shwu-Huey ; Wang, Chun-Wei ; Yeh, Jih-Pin ; Lin, Meng-Ju ; Lin, Hwei-Jen
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Tamkang Univ., Danshuei
Abstract :
We propose a method to extract text information from video sequences. First the frequency of high horizontal energy in a video frame is examined to extract text blocks. Structural operations are then performed to remove the background so that the text can be extracted for later recognition. Experiments show that the method is efficient and effective for extracting text from various video documents.
Keywords :
image sequences; text analysis; video signal processing; text information extraction; video image; video sequence; Computer science; Data mining; Discrete cosine transforms; Frequency; Information management; Power engineering and energy; Reliability engineering; Text recognition; Video sequences; Videoconference; K-mean clustering; connected-component; discrete cosine transform (DCT); gray scale gradient (GDT); text information extraction;
Conference_Titel :
Secure System Integration and Reliability Improvement, 2008. SSIRI '08. Second International Conference on
Conference_Location :
Yokohama
Print_ISBN :
978-0-7695-3266-0
Electronic_ISBN :
978-0-7695-3266-0
DOI :
10.1109/SSIRI.2008.26
