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recognition through automated techniques is one of the recent innovations in the industry, as it helps in interpreting historical documents, digital scripts, and large records.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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Veröffentlicht in:	Computers & electrical engineering Jg. 126; S. 110533
Hauptverfasser:	Sastry, M. Kiran, Aparna, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.08.2025
Schlagworte:	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
Online-Zugang:	Volltext
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