Hindi Character Recognition using Neural Network and various Optimizing Techniques: A Survey |
Author(s): |
| Alpa Tekchand Choithani , Noble Group of Institutions; Nirali Mankad, Noble Group of Institutions; Nidhi Gondalia, Noble Group of Institutions |
Keywords: |
| Pattern Recognition, Hindi Character Recognition, Artificial Neural Networks, Hidden Markov Modeling (HMM), Genetic Algorithm (GA), Differential Evolution (DE) |
Abstract |
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Today in this digitized world, Soft Computing techniques like Artificial Neural Network, genetic algorithm and other optimization techniques proved to be an effective way to solve the problem of getting optimum value for character recognition. It provides solution for high dimension problems along with multiple local optima. This paper highlights the implementation of neural network and other techniques like Hidden Markov Modeling (HMM), Differential Evolution (DE) Techniques and Genetic Algorithm on characters for different languages which results in better performance. |
Other Details |
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Paper ID: IJSRDV2I10246 Published in: Volume : 2, Issue : 10 Publication Date: 01/01/2015 Page(s): 376-379 |
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