Recurrent Convolutional Neural Network MSER-Based Approach for Payable Document Processing | Zendy

Suliman Aladhadh | Zendy; Hidayat Ur Rehman | Zendy; Ali Mustafa Qamar | Zendy; Rehan Ullah Khan | Zendy

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Recurrent Convolutional Neural Network MSER-Based Approach for Payable Document Processing

Author(s) -

Suliman Aladhadh,

Hidayat Ur Rehman,

Ali Mustafa Qamar,

Rehan Ullah Khan

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.2021.018724

Subject(s) - computer science , accounts payable , artificial intelligence , optical character recognition , invoice , handwriting recognition , alphanumeric , deep learning , lexicon , speech recognition , convolutional neural network , document processing , natural language processing , artificial neural network , segmentation , bigram , pattern recognition (psychology) , feature extraction , database , payment , trigram , world wide web , image (mathematics) , programming language

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