A Review on Improve Handwritten character recognition by using Convolutional Neural Network

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Miss. Hetal Anuvadiya, Prof. Ashutosh Abhangi

Abstract

For image recognition CNN is the most popular learning model. The features like weight sharing strategy and strong relations of the pixels of the image makes CNN best choice for image recognition. The feature extraction and classification can be done simultaneously in deep learning models which has proved very needful compared to the traditional methods. A promising recognition can be obtained by using CNN if we address to certain issues. So in CNN based framework for handwritten character recognition that gives a better performance compared to other CNN based recognition methods.

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How to Cite
, M. H. A. P. A. A. (2018). A Review on Improve Handwritten character recognition by using Convolutional Neural Network. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(4), 493–495. Retrieved from http://www.ijfrcsce.org/index.php/ijfrcsce/article/view/1554
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