NDLI: High-speed, high-accuracy binarization method for recognizing text in images of low spatial resolutions

Content Provider	IEEE Xplore Digital Library
Author	Kamada, H. Fujimoto, K.
Copyright Year	1999
Description	Author affiliation: Fujitsu Labs. Ltd., Kawasaki, Japan (Kamada, H.)
Abstract	We propose a new high-speed, high-accuracy binarization method for recognizing text in document images. First character neighborhoods are extracted from input images using a global thresholding value that is shifted to the background pixel value from the thresholding value of conventional global binarization. Second, characters are extracted using an original local binarization process integrated with image interpolation. Our method takes only 1/100 the processing time over the method that performs image interpolation first. Therefore our method binarizes an A4 size text image (150dpi) in an average of only 3.3 seconds using a 166 MHz Pentium processor. Furthermore, our method reduced unrecognized characters by 46.5%, compared with conventional global binarization.
Starting Page	139
Ending Page	142
File Size	421205
Page Count	4
File Format	PDF
ISBN	0769503187
DOI	10.1109/ICDAR.1999.791744
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-09-22
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Text recognition Spatial resolution Image resolution Character recognition Color Interpolation Skeleton Pixel Gray-scale
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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High-speed, high-accuracy binarization method for recognizing text in images of low spatial resolutions