Extraction of Binary Images from Grayscale Document Images

• Main Authors: wang, Ke-Huan, 王克桓
• Other Authors: Hsueh, Yuang-Cheh
• Format: Others
• Language: en_US
• Published: 1998
• Online Access: http://ndltd.ncl.edu.tw/handle/48777548980728727996

碩士 === 國立交通大學 === 資訊科學研究所 === 86 === 　　Documents have been the most popular information median in our society today. Numerous applications of document image, such as OCR (Optical Character Recognition) and many document analysis algorithms are base on binary image. This thesis provides a method to extract binary images from grayscale document images. First, we smooth the input image and generate a three-level image using the gradient, then we use the property that stoke width in a small region is similar to detect all stroke and cross pixels. According to the experiment results, the proposed method gives good results in many polluted document images.