IJBTT

Text Detection in Video for Video Indexing
	© 2020 by IJCTT Journal
	Volume-68 Issue-4
	Year of Publication : 2020
	Authors : Youssef Rachidi
	DOI :  10.14445/22312803/IJCTT-V68I4P117

How to Cite?

Youssef Rachidi, "Text Detection in Video for Video Indexing," International Journal of Computer Trends and Technology, vol. 68, no. 4, pp. 96-99, 2020. Crossref, https://doi.org/10.14445/22312803/IJCTT-V68I4P117

Abstract
Automatic text detection in video is an important task and a prerequisite for video retrieval, annotation, recognition, indexing and content analysis. Video OCR is a technique that can greatly help to locate the topics of interest in video via the automatic extraction and reading of captions and annotations. Text in video can provide key indexing information. Recognizing such text for search application is critical. Major difficult problem for character recognition for videos is degraded and deformated characters, low resolution characters or very complex background. To tackle the problem preprocessing on text image plays vital role. Most of the OCR engines are working on the binary image so to find a better binarization procedure for image to get a desired result is important. Accurate binarization process minimizes the error rate of video OCR.

Keywords
Text Detection, OCR, Binarization, video Text, video indexing.

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