Mr. Linteng Wang Profile

Linteng Wang

at Liaoning Univ

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Proceedings Article | 14 August 2019 Paper

Examination paper text detection based on character discriminator

Linteng Wang, Xiaoguang Li

Proceedings Volume 11179, 111791Z (2019) https://doi.org/10.1117/12.2539618

KEYWORDS: Image processing, Detection and tracking algorithms, Image filtering, Image resolution, Image segmentation, Stationary wavelet transform, Convolution, Image quality, Lithium, Mobile devices

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Examination paper text detection poses a challenging task of detecting text lines from examination paper with different sizes, low resolution, handwritten character and print character mixed, etc. In this paper, we propose a simple yet effective text detection method base on character discriminator (TDCD) to tackle the problem of examination paper text detection. We aim at detecting text lines of examination paper refer to high-quality character rectangles using the text line construction approach. To obtain the high-quality character rectangles, we firstly leverage canny filter and bounding rectangle tool for producing the bounding rectangles of examination paper connected regions. Then, the candidate rectangles generated by the merging of the bounding rectangles base on IOU. We finally propose a character discriminator (CD) to guide different candidate rectangles of a character to merge. Furthermore, we collect and annotate an examination paper image dataset EPDB-100. We conduct extensive experiments on EPDB-100. In particular, our TDCD achieves the F-measure score of 63.5%.

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