Improved Ring Radius Transform-Based Reconstruction for Video Character Recognition

Author:

Huang Zhiheng1,Shivakumara Palaiahnakote2,Lu Tong1ORCID,Pal Umapada3,Blumenstein Michael4,Chetty Bhaarat5,Kumar G. Hemantha6

Affiliation:

1. National Key Lab for Novel Software Technology, Nanjing University, Nanjing, P. R. China

2. Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

3. Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India

4. Australian Artificial Intelligence Institute, University Technology Sydney, NSW, Australia

5. Google Developers Group, Bangalore, Senior Software Developer, NASDAQ, India

6. Department of Studies in Computer Science, University of Mysore, Mysore, Karnataka, India

Abstract

Character shape reconstruction in video is challenging due to low contrast, complex backgrounds and arbitrary orientation of characters. This work proposes an Improved Ring Radius Transform (IRRT) for reconstructing impaired characters through medial axis prediction. At first, the technique proposes a novel idea based on the Tangent Vector (TV) concept that identifies each actual pair of end pixels caused by gaps in impaired character components. Next, the actual direction to predict medial axis pixels using IRRT for each pair of end pixels is proposed with a new normal vector concept. The process of prediction repeats iteratively to find all the medial axis pixels for every gap in question. Further, medial axis pixels with their radii are used to reconstruct the shapes of impaired characters. The proposed technique is tested on benchmark datasets consisting of video, natural scenes, objects and multi-lingual data to demonstrate that it reconstructs shapes well, even for heterogeneous data. Comparative studies with different binarization and character recognition methods show that the proposed technique is effective, useful and outperforms existing methods.

Funder

National Natural Science Foundation of China

University of Malaya HIR

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

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