Scene Text Detection Using a Modified SkipConnection Network

Publish Year: 1402
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

AISOFT01_030

تاریخ نمایه سازی: 28 بهمن 1402

Abstract:

Scene text detection, unlike documentary textdetection, includes challenges such as a variety of text sizes,backgrounds, fonts, and the proximity of two or more words toeach other. In this paper, we first investigated the effect of skipconnections in a fully convolutional network on text detectionand found that adding SkipConv modules in the path of skipconnections improves the performance of the network for textdetection. We also proposed a post-processing operation on theoutput of the network, which can easily separate closely relatedtexts.

Authors

Ali Kavari

School of Electrical and Computer EngineeringShiraz UniversityShiraz, Iran

Mehran Yazdi

School of Electrical and Computer EngineeringShiraz UniversityShiraz, Iran