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.
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Authors
Ali Kavari
School of Electrical and Computer EngineeringShiraz UniversityShiraz, Iran
Mehran Yazdi
School of Electrical and Computer EngineeringShiraz UniversityShiraz, Iran