An Overview of Text Detection in Natural Scene Images
A.Vishnuvardhan1, M.N.Sriharsha2
1A.Vishnuvardhan, Assistant Professor, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur, Andhra Pradesh, India.
2M. N. Sriharsha, Assistant Professor, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur, Andhra Pradesh, India.
Manuscript received on 15 May 2019 | Revised Manuscript received on 22 May 2019 | Manuscript Published on 10 July 2019 | PP: 384-387 | Volume-8 Issue-7C2 May 2019 | Retrieval Number: G10830587C219/19©BEIESP
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© 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: Finding and ousting the words or sentences from the essential pictures is one of the standard testing district in PC vision which generally requires post-organizing steps. It is a framework which is used to see and confine the perfect substance from the photos. In spite of how examination is done on this, yet in the interim there is need to improve the precision of the ousted bit of the substance. Thusly a solid structure is required.
Keywords: Text detection, Text Extraction, Natural Image, Computer vision.
Scope of the Article: Computer-Supported Cooperative Work