Paper
20 August 2010 Number extraction in document images based on mathematical morphology
Xiangzhi Bai, Fugen Zhou, Ting Jin, Zhaoying Liu
Author Affiliations +
Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78201V (2010) https://doi.org/10.1117/12.866737
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiangzhi Bai, Fugen Zhou, Ting Jin, and Zhaoying Liu "Number extraction in document images based on mathematical morphology", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78201V (20 August 2010); https://doi.org/10.1117/12.866737
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KEYWORDS
Mathematical morphology

Structural design

Document image analysis

Feature extraction

Image processing

Chemical elements

Image filtering

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