INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The goal of this paper is to categorize every distinct handwritten word, making it possible to digitize handwritten images. We primarily used character segmentation and direct categorization of words techniques to finish this study. To create a model that can accurately characterize words, we can create a convolutional neural network for the former(CNN) with a variety of alternative topologies. For the latter, we use convolutional and long Short-Term Memory networks(LSTM) to generate bounding boxes for each character. The characters are segmented before being sent to CNN for classification. Finally, using the data from classification and segmentation, we recreate each word.
Keywords:
Hand written text recognition, LSTM,CNN,RESNET
Cite Article:
"Hand written text recognition", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.b283-b286, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304132.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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