Title :
A video text extraction method for character recognition
Author_Institution :
Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan
Abstract :
The paper presents a method to precisely extract only video character portions from a video text rectangle region in order to make a readable image for OCR. In conventional methods, gray image binarization processing with a given threshold is employed to extract high-intensity video character regions. A video has a complex background with various kinds of intensity so that appropriate thresholds are not always obtained. The proposed method extracts reliable high-intensity regions in a video text region and then expands them in order to make the whole video character regions. The experiments show this new method to be superior to the conventional methods
Keywords :
feature extraction; optical character recognition; text analysis; video signal processing; OCR; character recognition; gray image binarization processing; high-intensity video character regions; readable image; reliable high-intensity regions; video character portions; video character regions; video text extraction method; video text rectangle region; Character recognition; Data mining; Histograms; Image edge detection; Image processing; Image segmentation; Laboratories; Optical character recognition software; Read only memory; Research and development;
Conference_Titel :
Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
Conference_Location :
Bangalore
Print_ISBN :
0-7695-0318-7
DOI :
10.1109/ICDAR.1999.791716
