Convolutional Neural Network Based Intelligent Handwritten Document Recognition | Zendy

Sagheer Abbas | Zendy; Yousef Alhwaiti | Zendy; Areej Fatima | Zendy; Muhammad Adnan Khan | Zendy; Taher M. Ghazal | Zendy; Asma Kanwal | Zendy; Munir Ahmad | Zendy; Nouh Sabri Elmitwally | Zendy

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Convolutional Neural Network Based Intelligent Handwritten Document Recognition

Author(s) -

Sagheer Abbas,

Yousef Alhwaiti,

Areej Fatima,

Muhammad Adnan Khan,

Taher M. Ghazal,

Asma Kanwal,

Munir Ahmad,

Nouh Sabri Elmitwally

Publication year - 2021

Publication title -

computers, materials and continua/computers, materials and continua (print)

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 0.788

H-Index - 40

eISSN - 1546-2226

pISSN - 1546-2218

DOI - 10.32604/cmc.2022.021102

Subject(s) - computer science , convolutional neural network , artificial intelligence , segmentation , pattern recognition (psychology) , artificial neural network , optical character recognition , document processing , neocognitron , data set , set (abstract data type) , intelligent word recognition , intelligent character recognition , character (mathematics) , handwriting recognition , sample (material) , speech recognition , time delay neural network , feature extraction , character recognition , image (mathematics) , chemistry , geometry , mathematics , chromatography , programming language

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