Research Article Open Access

A Literature Review on Variation in Text and Different methods for Text Detection in Images and Videos

Abstract

Text detection in images and videos is quite challenging task. Text detection is a method of detecting text character from images and videos whose size, orientation, repeating pattern and other variations makes it difficult to detect. Many different methods for text detection are proposed based on their variation in text and properties of text. For text detection, first step is to Initialization of Text Model. To initialize, extract region of text or single character from image or video frame by edge detection. Second step is to describe the features of region containing text object based on different variation of text such as geometry of text, color of text, motion of text object and edge of text. Last step is to remove of non text region from the image or video frames by comparing with threshold values of different text features. In this review work, different types of variation and problems of text associated in the Images and videos are explained, and different method for text detection in images and videos are studied.

Prof. N.N. Khalsa, Prof. S.G. Kavitkar, Nagendra.G. Kushwaha

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