交通标志中孟加拉语文本的实时提取与翻译

Saimoom Safayet Akash, Sandip Kabiraz, SM Ashraful Islam, S. Siddique, M. N. Huda, Ishteaque Alam
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引用次数: 1

摘要

本文开发并演示了一个系统来构建交通指令检测和翻译工具,该工具可以从包含交通指令的自然图像中提取和转换孟加拉语文本。在系统的开发过程中,我们应用了各种技术从自然图像中提取和转换信息。这些技术包括图像处理、机器学习、光学字符识别和机器翻译。该系统包括三个步骤:图像文本提取、语言模型后处理和机器翻译。
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A Real Time Approach for Bangla Text Extraction and Translation from Traffic Sign
This paper has developed and demonstrated a system to build traffic instruction detection and translation tools that can extract and convert Bangla text from natural images containing traffic instruction. In the process of developing the system, we have applied various techniques to extract and convert information from natural images. These techniques involve Image Processing, Machine Learning, Optical Character Recognition and Machine Translation. The proposed system consists of three steps, which are Text extraction from image, Post Processing by Language Model and Machine Translation.
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