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Content Provider | IEEE Xplore Digital Library |
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Author | Seeger, M. Dance, C. |
Copyright Year | 2001 |
Description | Author affiliation: Xerox Res. Centre Eur., Cambridge, UK (Seeger, M.) |
Abstract | We describe a binarisation method designed specifically for OCR of low quality camera images: background surface thresholding or BST. This method is robust to lighting variations and produces images with very little noise and consistent stroke width. BST computes a "surface" of background intensities at every point in the image and performs adaptive thresholding based on this result. The surface is estimated by identifying regions of low-resolution text and interpolating neighbouring background intensities into these regions. The final threshold is a combination of this surface and a global offset. According to our evaluation BST produces considerably fewer OCR errors than Niblack's local average method while also being more runtime efficient. |
Sponsorship | IAPR |
Starting Page | 54 |
Ending Page | 58 |
File Size | 573207 |
Page Count | 5 |
File Format | |
ISBN | 0769512631 |
DOI | 10.1109/ICDAR.2001.953754 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2001-09-13 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Optical character recognition software Binary search trees Runtime Noise robustness Degradation Error analysis Europe Digital cameras Feedback Algorithm design and analysis |
Content Type | Text |
Resource Type | Article |
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