Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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 Handwriting recognition is the ability of the machine’s to receive and translate handwriting input from multiple sources such as text, images and touch screen devices. The adoption of handwritten and machine-made characters is an emerging field of research and finds many programs in banks, offices and industries. The main objective of this project is to design an expert program, “HCR using Neural Network” that can accurately detect a character of a certain type of format using the Artificial Neural Network method. The Neural Computer is a relatively new field, and the construction components are therefore less well defined than other construction. Neural Computers Use Data Matching Neural computers operate in a completely different way from normal computer operations. Neural Computer is trained (not configured) to be given the initial state (data entry); they separate the input data from one of several classes or change the original data in such a way that a particular desirable asset is properly performed.
Keywords:
Neural Networks, Handwriting objects, HCR,MNSIT, ANN
Cite Article:
"Neural Network to Recognize Handwriting Objects", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.1602 - 1606, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206237.pdf
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000205208
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator