Title :
Binarizing the Courtesy Amount Field on Color Chinese Bank Check Images
Author :
Liu, Dong ; Chen, Youbin
Author_Institution :
Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China
Abstract :
A novel binarization method for courtesy amount recognition of color Chinese checks is proposed in this paper. It includes two steps: background removal and seal removal. In the first step, two complementary binarization methods (Otsu method and Niblack method) are combined. In the second step, a multi-stage method for seal removal is proposed. All the seal-like pixels whose colors are similar to red in HSI color space are extracted first. Then the covered strokes which are extracted in the first stage are brought back to the left image by thresholding in RGB color space. Experiments show that the proposed method performs very well with little noise and can be used to remove background and seals for courtesy amount recognition of Chinese checks.
Keywords :
character recognition; image colour analysis; image segmentation; natural language processing; HSI color space; Niblack method; Otsu method; RGB color space; background removal; color Chinese check image recognition; complementary binarization method; courtesy amount recognition; image thresholding; multistage method; seal like pixels; seal removal; Color; Educational institutions; Gray-scale; Image color analysis; Image recognition; Noise; Seals; background removal; binarization; courtesy amount field pre-processing; courtesy amount recognition; seal removal;
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1350-7
Electronic_ISBN :
1520-5363
DOI :
10.1109/ICDAR.2011.160