Improved document image binarization by using a combination of multiple binarization techniques and adapted edge information

This paper presents a new adaptive approach for document image binarization. The proposed method is mainly based on the combination of several stateof-the-art binarization methodologies as well as on the efficient incorporation of the edge information of the gray scale source image. An enhancement step based on mathematical morphology operations is also involved in order to produce a high quality result while preserving stroke information. The proposed method demonstrated superior performance against six (6) well-known techniques on numerous degraded handwritten and machineprinted documents. The performance evaluation is based on visual criteria as well as on an objective evaluation methodology.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Basilios Gatos, Ioannis Pratikakis, Stavros J. Perantonis
• Keywords: Computer Vision, ICPR 2008, Mathematical Morphology Operations, Objective Evaluation Methodology, Scale Source Image