Research Article
Encouraging the Usage of Neural Network in Video Text Detection Application
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@INPROCEEDINGS{10.1007/978-3-642-27308-7_24, author={Suresh Balasubramaniyan and Praveen Mani and Arun Karthikeyan and Ganesh Shankar}, title={Encouraging the Usage of Neural Network in Video Text Detection Application}, proceedings={Advances in Computer Science and Information Technology. Computer Science and Engineering. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part II}, proceedings_a={CCSIT PATR II}, year={2012}, month={11}, keywords={Neural networks Expert system OCR (Optical Character Recognition) video text detection}, doi={10.1007/978-3-642-27308-7_24} }- Suresh Balasubramaniyan
Praveen Mani
Arun Karthikeyan
Ganesh Shankar
Year: 2012
Encouraging the Usage of Neural Network in Video Text Detection Application
CCSIT PATR II
Springer
DOI: 10.1007/978-3-642-27308-7_24
Abstract
The video text detection is an expert system in which we study how the performance can be enhanced by adding neural network. The implementation of video text detection using algorithm based approach [9] is taken and compared with the neural networks based implementation [11]. A standard protocol [10] for evaluating the video text detection approach is taken and its metrics are used for the comparative study. With this comparison, the evaluation of both the systems for better performance can be done. The conclusions necessary for enhancing the usage of neural network is drawn based on the comparison study. The paper is about encouraging the use of neural network in an expert system (Video Text Detection Application).
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