Abstract—In this paper, an effective methodology for text extraction images and video frames using Gabor filter is proposed. The proposed approach is completed by Gabor Filter, morphological and Heuristic filtering process methods is used to localize the text region better. The proposed technique is completed by text extraction utilizing Gabor filter method which is utilized for text identification within complex images and video frames. Diverse experiments were led to assess the execution of the proposed calculation and algorithm and compare with other methods. Experimental results tested from a large dataset and demonstrated that the proposed method is effective and practical. Various parameters like a precision and recall rates are analyzed for both existing and proposed method to determine the success and limitation of our method. Experiment results show that our method can obtain 99.11 % recall rate and precision rate 94.67 % with average computational time 5.28 second /frames.

Index Terms—Text extraction, text localization, text recognition, gabor filter.

Anubhav Kumar is with the Dep. of Electronic and Communication, Raj Kumar Goel Institute of Technology for Women, India (e-mail: rajput.anubhav@gmail.com).

Cite:Anubhav Kumar, "An Efficient Approach for Text Extraction in Images and Video Frames Using Gabor Filter," International Journal of Computer and Electrical Engineering vol. 6, no. 4, pp. 316-320, 2014.