Bima script handwriting pattern recognition with gray level co-occurrence matrix feature extraction and zoning & classification of probabilistic neural networks

Authors : Muhammad Naufal; I Gede Pasek Suta Wijaya; Fitri Bimantoro; Arik Aranta
article cite 0 Year 2023
source: AIP conference proceedings
Abstract

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Muhammad Naufal, Fitri Bimantoro, Arik Aranta, I. Gede Pasek Suta Wijaya; Bima script handwriting pattern recognition with gray level co-occurrence matrix feature extraction and zoning & classification of probabilistic neural networks. AIP Conf. Proc. 21 February 2023; 2482 (1): 020010. https://doi.org/10.1063/5.0111802 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search

Concepts :
Handwritten Text Recognition Techniques
Edcuational Technology Systems
Computer Science and Engineering
article cite 0 Year 2023 source AIP conference proceedings
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10.1063/5.0111802
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Quality Education
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