A video text extraction method for character recognition

Author

Hori, Osamu

Author_Institution

Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan

fYear

1999

fDate

20-22 Sep 1999

Firstpage

25

Lastpage

28

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICDAR.1999.791716

Filename

791716