A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm

A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm

The processing of automatically generated images of documents, which is a complex and expensive but necessary component of handwriting recognition, and which has always drawn the attention of engineers and scientists. The definition includes processing of an image in which handwritten letters or num...

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Bibliographic Details
Main Author: Ahmed Ali Mohammed, Al-saffar
Format: Thesis
Language:English
Published: 2024
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/44601/
http://umpir.ump.edu.my/id/eprint/44601/1/A%20sequential%20handwriting%20recognition%20model%20based%20on%20a%20dynamically%20configurable%20convolution%20recurrent%20neural%20network%20and%20hybrid%20salp%20swarm%20algorithm.pdf

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