Title :
Character Recognition Based on Structural Analysis Using Code & Decision Matrix
Author :
Giri, Kaiser J. ; Bashir, Rumaan
Author_Institution :
Dept. of Comput. Sci., Islamic Univ. of Sci. & Technnology, Awantipora, India
Abstract :
In an effort to create a paperless office, document analysis and understanding has a received a lot of attention from researchers and has undergone thorough research over last two decades. Character Recognition being an important activity in the document analysis, has become an important area of research and a lot of work has been done and number of techniques have been developed so far. However, the automatic recognition capability of computers is still way behind that of humans and is still an open area of research. In this paper, we are presenting a novel method for character recognition using two matrices: Code & Decision matrix.
Keywords :
character recognition; document image processing; matrix algebra; automatic recognition capability; character recognition; code & decision matrix; document analysis; paperless office; structural analysis; Character recognition; Educational institutions; Feature extraction; Machine intelligence; Noise; Text analysis; Character; Code Matrix; Cognitive; Decision Matrix; Digitization; Feature Extraction; Recognition; Recognition Tree;
Conference_Titel :
Machine Intelligence and Research Advancement (ICMIRA), 2013 International Conference on
Conference_Location :
Katra
DOI :
10.1109/ICMIRA.2013.95