Kasar, Thotreingam and Ramakrishnan, Angarai G (2012) Multi-script and multi-oriented text localization from scene images. In: 4th International Workshop, CBDAR 2011, September 22, 2011, Beijing, China.
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Abstract
This paper describes a new method of color text localization from generic scene images containing text of different scripts and with arbitrary orientations. A representative set of colors is first identified using the edge information to initiate an unsupervised clustering algorithm. Text components are identified from each color layer using a combination of a support vector machine and a neural network classifier trained on a set of low-level features derived from the geometric, boundary, stroke and gradient information. Experiments on camera-captured images that contain variable fonts, size, color, irregular layout, non-uniform illumination and multiple scripts illustrate the robustness of the method. The proposed method yields precision and recall of 0.8 and 0.86 respectively on a database of 100 images. The method is also compared with others in the literature using the ICDAR 2003 robust reading competition dataset.
| Item Type: | Conference Paper |
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| Publisher: | Springer |
| Additional Information: | Copyright of this article belongs to Springer Berlin Heidelberg. |
| Keywords: | Text Detection; Scene Text; Multi-Script Documents; Multi-Oriented Text; Camera-Based Document Analysis |
| Department/Centre: | Division of Electrical Sciences > Electrical Engineering |
| Date Deposited: | 23 Apr 2013 05:26 |
| Last Modified: | 23 Apr 2013 05:26 |
| URI: | http://eprints.iisc.ac.in/id/eprint/46230 |
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