%0 Journal Article %A YANG Siqi %A YI Yaohua %A TANG Ziwei %A WANG Xinyu %T Text Detection in Natural Scenes Embedded Attention Mechanism %D 2021 %R 10.3778/j.issn.1002-8331.2007-0098 %J Computer Engineering and Applications %P 185-191 %V 57 %N 24 %X

For missed text detection and detected text deficiency, a text detection method embedded attention mechanism is proposed. Faster-RCNN and Feature Pyramid Network(FPN) are used as the basic framework. Embedded attention mechanism and improved anchor setting, which are designed by text characteristics, are utilized for more accurate text candidate regions. The scope of loss function is reset. The experiment results show that this method can significantly ensure the integrity of detected text information effectively and improve the recall rate and accuracy rate compared with existing methods, which can be exploited for text detection in natural scenes.

%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2007-0098