Open AccessRecurrent 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