An Edge-Based Algorithm for Text Extraction in Images and Video Frame

Abstract

In this paper, a proposal of a new and unusual framework to detect and extract the text from the images and video frames have been presented. In the past various methods have been presented for detection and localization of text in images and video frames. In this paper, a comparison has been made between several text detection methods and proposed method for text detection in images and video frames. The proposed method is carried out by edge detection, and the projection profile method is used to localize the text region better. Various experiments have been carried out to evaluate and compare the performance of the proposed algorithm. Experimental results tested from a large dataset have demonstrated that the proposed method is effective and practical. Various parameters like average time, precision and recall rates and analyzed for both existing and proposed method to determine the success and limitation of our method.

An Efficient Approach for Text Extraction in Images and Video Frames Using Gabor Filter

“…A focus of line detection mask based system for text region localization has been proposed by Liu et al [7]. A. Kumar et al [8], [9] proposed a line detection mask based text extraction in images and video frames. Edge based methods based on detection masks and localized image using heuristics filtering with OCR recognition.…”