Loading

Tamil text detection in videos using Gradient Vector Flow and Fuzzy C-Means
J.T. Anita Rose1, B.Jaison2, S.V.S.Harshavardhan3, B. Krishna Teja4, J. Dinesh Sai5

1Dr. J.T.Anita Rose*, Associate Professor, Department of CSE, St. Joseph’s College of Engineering, (Tamil Nadu), India.
2Dr.B.Jaison, Associate Professor, Department of CSE, R.M.K Engineering College, Kavaraipettai, (Tamil Nadu), India.
3S.V.S.Harshavardhan, Student, CSE, Department of CSE, R.M.K Engineering College, Kavaraipettai, (Tamil Nadu), India.
4B.Krishna Teja, Student, CSE, Department of CSE, R.M.K Engineering College, Kavaraipettai, (Tamil Nadu), India.
5J.Dinesh Sai Student, CSE, Department of CSE, R.M.K Engineering College, Kavaraipettai, (Tamil Nadu), India.
Manuscript received on November 21, 2019. | Revised Manuscript received on December 30, 2019. | Manuscript published on December 30, 2019. | PP: 5377-5382  | Volume-9 Issue-2, December, 2019. | Retrieval Number: B2845129219/2019©BEIESP | DOI: 10.35940/ijeat.B2845.129219
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In videos, detecting text with multifaceted scenarios is perplexing. Texts in those videos have content full data facts that will be applied for various applications. Here, a system is proposed to enrich the text detection process from video. Here, a new method is implemented that detects Tamil text based on Gradient Vector Flow (GVF) and fuzzy c-means. First the video is split into number of frames. To circumvent temporal redundancy in each frame, a key frame is chosen and the frame where the text be located is identified to be the key frame. The dominant edge pixel is identified in that frame by the sobel edge map. Edge components are detected conforming towards the dominant pixel in sobel detector for constructing Text Candidates (TC).Clustering of a pixel is performed to detect text by using fuzzy c means clustering algorithm. Finally text is detected.
Keywords: Gradient vector flow, Dominant pixel, Text candidate, Fuzzy C-means.