Title :
Document image understanding of handwritten forms using rule-trees
Author :
Cracknell, C. ; Downton, A.C.
Author_Institution :
Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
Abstract :
Document image analysis and understanding (DIU) are applied in sequence to label the fields of handwritten forms so that contextual post processing can be used to improve recognition performance. We propose that efficient DIU systems for this task can be built using ambiguous regular grammars, and present results for one such system. A new method for describing these grammars is presented which seems better suited to DIU than other grammar description schemes such as Backus Naur Form or regular expressions
Keywords :
context-sensitive grammars; document image processing; handwritten character recognition; knowledge based systems; trees (mathematics); ambiguous regular grammars; contextual post processing; document image analysis; document image understanding; grammar description; handwritten forms; rule trees; Character recognition; Computational modeling; Handwriting recognition; Image recognition; Image sequence analysis; Libraries; Optical character recognition software; Systems engineering and theory; Text analysis; Tree data structures;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711388
