A Real Time Approach for Bangla Text Extraction and Translation from Traffic Sign

Abstract

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.