A Novel Arbitrary-Oriented Multilingual Text Detection in Images/Video

  • H. T. Basavaraju
  • V. N. Manjunath Aradhya
  • D. S. Guru
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 701)

Abstract

Text in images and videos plays a vital role to understand the events. The textual information is a prominent source and semantic information of a particular content of the respective image or video. Text detection is a primary stage for text recognition and text understanding. Still, text detection process is a challenging and interesting research work in the field of computer vision due to illumination, alignments, complex background and variation size, color, fonts of the text. The multilingual text consists of different geometrical structures of languages. In this paper, a simple and yet effective approach is presented to detect the text from arbitrary oriented multilingual images/video. The proposed method is based on Laplacian of Gaussian information and full connected component analysis. The proposed method is evaluated on four datasets such as Hua’s dataset, arbitrarily oriented dataset, Multi-script Robust Reading Competition (MRRC) dataset and MSRA dataset with performance measures precision, recall and f-measure. The results show that the proposed method is promising and encouraging.

Keywords

Multilingual text Arbitrary-Oriented Laplacian of Gaussian Full connected component 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • H. T. Basavaraju
    • 1
  • V. N. Manjunath Aradhya
    • 1
  • D. S. Guru
    • 2
  1. 1.Department of Master of Computer ApplicationsSri Jayachamarajendra College of EngineeringMysoreIndia
  2. 2.Department of Studies in Computer ScienceUniversity of MysoreMysoreIndia

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