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Abstract
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Article Information:
ViOC-optical Alphanumeric Character Extraction from Video Frames
Resmi R. Nair, A. Shobana, T. Abhinaya and S. Sibi Chakkaravarthy
Corresponding Author: Resmi R. Nair
Submitted: April 15, 2014
Accepted: June 08, 2014
Published: July 15, 2014 |
Abstract:
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The main motto of the study is to provide the new distinct method to extract the optical characters in the form of alpha numeric characters from the video frames. In this study we proposed a new methodology to recognize the optical characters from the video frames; the methodology is taken with two step process, in first step the video frames are separated into frame by frames. Then the text detection phase is revoked with text localization and text verification and the second step is to recognize the characters. In this phase the text is verified and recognized. The final outcome is the recognized characters from the video frames. The experimental results are demonstrated clearly and the proposed method has an optimality over the video frames without any jitter or noise sequence in processing the extraction phase. The method performs better result than the existing algorithm and the results yields 94% accuracy in the MATLAB R2013b simulation environment.
Key words: Localization, OCR, text extraction, text recognition, text verification, video frame,
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Cite this Reference:
Resmi R. Nair, A. Shobana, T. Abhinaya and S. Sibi Chakkaravarthy, . ViOC-optical Alphanumeric Character Extraction from Video Frames. Research Journal of Applied Sciences, Engineering and Technology, (3): 439-442.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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