Developing adaptive Yolov5-based Telugu handwritten character segmentation and classification framework using Enhanced Chef-Based Optimization Algorithm and Deep Learning Networks

Handwritten character recognition through automated techniques is one of the recent innovations in the industry, as it helps in interpreting historical documents, digital scripts, and large records. Deep learning techniques are effective in recognizing complex image patterns like handwritten Telugu...

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Vydáno v:	Computers & electrical engineering Ročník 126; s. 110533
Hlavní autoři:	Sastry, M. Kiran, Aparna, S.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.08.2025
Témata:	Adaptive Yolov5 Convolutional neural networks with res-attention-long short-term memory layer Enhanced Chef-Based Optimization Algorithm Telugu handwritten character segmentation and classification Enhanced Chef-Based Optimization Algorithm Convolutional neural networks with res-attention-long short-term memory layer Telugu handwritten character segmentation and classification Adaptive Yolov5
ISSN:	0045-7906
On-line přístup:	Získat plný text
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