Localizing slab identification numbers in factory scene images

Authors:
SungHoo Choi;Jong Pil Yun;Keunhwi Koo;Sang Woo Kim
Affiliations:
Division of Electrical and Computer Engineering, Pohang University of Science and Technology, Pohang, Gyungbuk 790-784, South Korea;Division of Electrical and Computer Engineering, Pohang University of Science and Technology, Pohang, Gyungbuk 790-784, South Korea;Division of Electrical and Computer Engineering, Pohang University of Science and Technology, Pohang, Gyungbuk 790-784, South Korea;Division of Electrical and Computer Engineering, Pohang University of Science and Technology, Pohang, Gyungbuk 790-784, South Korea
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

This paper deals with algorithms for text localization and character segmentation in images for process automation in the steel-making industry. Each character which comprises slab identification numbers may be corrupted severely before it is captured by network cameras. Therefore, proper processing is required to localize the target texts successfully. In this paper, we propose (1) a method to evaluate the closeness of an edge patch to the form of a closed contour, (2) an edge inspection method to determine character colors and estimate font thickness, and (3) three reasonable binarization methods to increase the performance of the algorithm for the detection of the left and right boundaries of the text rectangle. The experimental results show that the proposed algorithms are reliable.