A COMPREHENSIVE STUDY ON TEXT INFORMATION EXTRACTION FROM NATURAL SCENE IMAGES

Abstract

In Text Information Extraction (TIE) process, the text regions are localized and extracted from the images. It is an active research problem in computer vision applications. Diversity in text is due to the differences in size, style, orientation, alignment of text, low image contrast and complex backgrounds. The semantic information provided by an image can be used in different applications such as content based image retrieval, sign board identification etc. Text information extraction comprises of text image classification, text detection, localization, segmentation, enhancement and recognition. This paper contains a quick review on various text localization methods for localizing texts from natural scene images.

Keywords

• the text regions are localized and extracted from the images. It is an active research problem in computer vision applications. Diversity in text is due to the differences in size
• style
• orientation
• alignment of text
• low image contrast and complex backgrounds. The semantic information provided by an image can be used in different applications such as content based image retrieval
• sign board identification etc. Text information extraction comprises of text image classification
• text detection
• localization
• segmentation
• Natural Scene Image
• Text Information Extraction (TIE)
• Text Detection
• Text Localization
• Segmentation
• Extraction
• Enhancement
• Recognition