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Integrated Method for Text Detection in Natural Scene Images
Jul 24, 2017Author:
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Title: Integrated Method for Text Detection in Natural Scene Images

 Authors: Zheng, Y; Liu, J; Liu, HP; Li, Q; Li, G

 Author Full Names: Zheng, Yang; Liu, Jie; Liu, Heping; Li, Qing; Li, Gen

 Source: KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 10 (11):5583-5604; 10.3837/tiis.2016.11.021 NOV 30 2016

 Language: English

 Abstract: In this paper, we present a novel image operator to extract textual information in natural scene images. First, a powerful refiner called the Stroke Color Extension, which extends the widely used Stroke Width Transform by incorporating color information of strokes, is proposed to achieve significantly enhanced performance on intra-character connection and non-character removal. Second, a character classifier is trained by using gradient features. The classifier not only eliminates non-character components but also remains a large number of characters. Third, an effective extractor called the Character Color Transform combines color information of characters and geometry features. It is used to extract potential characters which are not correctly extracted in previous steps. Fourth, a Convolutional Neural Network model is used to verify text candidates, improving the performance of text detection. The proposed technique is tested on two public datasets, i.e., ICDAR2011 dataset and ICDAR2013 dataset. The experimental results show that our approach achieves state-of-the-art performance.

 ISSN: 1976-7277

 IDS Number: EL0KA

 Unique ID: WOS:000394310100021

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