Comparative Study on Text Detection and Recognition from Lecture Videos

Lecture videos are rich with textual information and to be able to understand the text is quite useful for larger video understanding/analysis applications.Textual information extracted from these sources can be used for automatic image and video indexing, and image structuring.But, due to variations in text style, size, alignment of text, as well as orientation of text and low contrast of the image and complex background make challenging the extraction of text.From the past recent years, many methods for extraction of text are proposed.This paper provides with analysis, comparison of performance of various methods used for extraction of text information from images.It summarizes various methods for text extraction and various factors affecting the performance of these methods.