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Proceedings Paper

Number extraction in document images based on mathematical morphology
Author(s): Xiangzhi Bai; Fugen Zhou; Ting Jin; Zhaoying Liu
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Paper Abstract

Number extraction in document image is a crucial technique in document image analysis. To simply and efficiently extract the numbers, a mathematical morphology based algorithm is proposed in this paper. Firstly, the square regions containing numbers are labeled by morphological dilation operation using a designed structuring element. Secondly, the square regions are extracted by morphological erosion operation. Thirdly, the inner region of the square regions is extracted through morphological dilation operations. Finally, the numbers are extracted through comparing the extracted and original inner region of the square regions. Experimental results show that the proposed algorithm is efficient.

Paper Details

Date Published: 20 August 2010
PDF: 8 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78201V (20 August 2010); doi: 10.1117/12.866737
Show Author Affiliations
Xiangzhi Bai, Beijing Univ. of Aeronautics and Astronautics (China)
Fugen Zhou, Beijing Univ. of Aeronautics and Astronautics (China)
Ting Jin, Beijing Univ. of Aeronautics and Astronautics (China)
Zhaoying Liu, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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