Owing to technological advancements and new inventions, the world is transforming into a digital world where cameras have replaced the scanners for converting the hard copy documents into their soft versions. And, nowadays, these gadgets are used to capture the images of any text, present anywhere in real-life scenes, and process it, hence making the area of camera-captured scene text extraction a key area of interest for researchers. This paper discusses the certain background concepts and provides a categorization of the major challenges faced while extracting the camera-captured scene text, and scope and applications of the scene text extraction. Moreover, it presents a comprehensive literature survey of different techniques and methods adopted by researchers to extract the text from the scene images captured via cameras with a special emphasis on Gurmukhi script. For better understanding, this paper classifies various techniques by three different parameters and discusses the available datasets along with performance metrics. To summarize, this survey provides a fundamental study and review of latest happenings in the area of camera-captured scene text extraction and offers researchers an overview of the work done so far along with certain future directions.
['Amandeep Kaur', 'Renu Dhir', 'Gurpreet Singh Lehal']
A survey on camera-captured scene text detection and extraction: towards Gurmukhi script