Survey on Handwritten Character Recognition Machine Learning
Keywords:
Hand written, Pattern detection, MLAbstract
In the fields of pattern recognition and image processing, handwriting recognition has emerged as the most captivating and difficult subject. For word recognition, a number of strategies were used. The majority of approaches are used for simple papers. The suggested system offers methods for identifying handwritten English words from photos of real-world scenes. The CNN classifier-based holistic word recognition approach was employed by the system. Since CNN is taught to recognize words as a whole, it does not need to recognize individual characters. The suggested system is trained and tested using the VGG synthetic word dataset.
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Published
2023-12-30
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How to Cite
[1]
Shweta Changan, Gauri Mahajan, Ketan Bobade, Yash Darekar, Sonali Patil, Chandrakant Kokane "Survey on Handwritten Character Recognition Machine Learning" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099,
Volume 10, Issue 6, pp.239-242, November-December-2023.