AUTOMATIC NON-HORIZONTAL SCENE TEXT RECOGNITION FROM A DOCUMENT IMAGE
The detection and extraction of scene text from document images is one of the challenging research areas. Many researchers have detected and extracted the text from plain text background. But the multi-oriented scene text detection is one of the complex problems due to multi-oriented texts which hav...
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Veröffentlicht in: | International journal of machine intelligence 2011-11, Vol.3 (3), p.164-167 |
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container_title | International journal of machine intelligence |
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creator | M, BASAVANNA GORNALE, SHIVANAND P, SHIVAKUMARA SK, SRIVATSA |
description | The detection and extraction of scene text from document images is one of the challenging research areas. Many researchers have detected and extracted the text from plain text background. But the multi-oriented scene text detection is one of the complex problems due to multi-oriented texts which have different orientation, font size, colors etc. In this work, we have proposed a new algorithm to detect and extract the multi-oriented scene text. Experiments have been carried out to find the robustness on the proposed method, by conducting various experiments on heterogeneous datasets. The proposed method achieves selectively high detection rate of 88.43% on the multi-oriented scene text. |
doi_str_mv | 10.9735/0975-2927.3.3.164-167 |
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subjects | Algorithms Conduction Fonts Intelligence Recognition Robustness Texts |
title | AUTOMATIC NON-HORIZONTAL SCENE TEXT RECOGNITION FROM A DOCUMENT IMAGE |
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