Publications
Authors:
  • Mauritius Seeger , Chris Dance
Citation:
"Binarising Camera Images for OCR", Mauritius Seeger and Christopher Dance,
Proceeding of Sixth International Conference on Document Analysis and
Recognition (ICDAR). September 10th-13th, 2001, Seattle, USA.
Abstract:
In this paper we describe a new 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.
Year:
2001
Report number:
2001/102
Attachments: