Open AccessHANDWRITTEN SCRIPT AND WORD RECOGNITION – A VIEW-BASED APPROACH
Author(s) -
Marek Tabędzki,
Khalid Saeed
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.5.3.413
Subject(s) - character (mathematics) , eigenvalues and eigenvectors , word (group theory) , computer science , artificial intelligence , pattern recognition (psychology) , series (stratigraphy) , artificial neural network , character recognition , image (mathematics) , toeplitz matrix , natural language processing , speech recognition , algorithm , mathematics , pure mathematics , paleontology , physics , geometry , quantum mechanics , biology
This paper presents a hybrid system for character and word recognition. It is based on a modification to the view-based approach presented in authors’ previous works. The algorithm is appropriate for dealing with whole, unsegmented words or isolated characters. The characteristic vectors taken from views of the tested image are processed with the method of minimal eigenvalues of Toeplitz matrices. The obtained series of minimal eigenvalues are used for classification with Artificial Neural Networks. The results of the experiments on different sets of words and letters are presented.