Name
Title | ||
|---|---|---|
Generalized Contextual Recognition of Hand-Printed Documents Using Semantic Trees with Lazy Evaluation |
Abstract | ||
|---|---|---|
This paper describes a new general-purpose contextual architecture which provides a unified framework for efficiently combining all types and levels of context in hand-print recognition applications. The architecture has been designed and built as a C++ class library, and utilised within an initial demonstrator which implements full contextual constraints for a combination of postcode and corresponding postal address. Preliminary evaluation of the demonstrator suggests the system has the potential to achieve genuinely remarkable performance compared with previous context systems: its memory requirements are an order of magnitude less than an equivalent trie-based dictionary; its search speed is at least an order of magnitude faster than the trie, and actually get faster as the dictionary size increases; and its error rate is virtually zero if suitable contextual constraints can be applied. Using this architecture, it appears to be possible to build real-time solutions to large-scale heterogeneous contextual problems. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/ICDAR.1997.619848 | ICDAR-1 |
Keywords | Field | DocType |
new general-purpose contextual architecture,corresponding postal address,large-scale heterogeneous contextual problem,initial demonstrator,full contextual constraint,class library,semantic trees,lazy evaluation,previous context system,dictionary size increase,hand-printed documents,suitable contextual constraint,equivalent trie-based dictionary,generalized contextual recognition,handwriting recognition,dictionaries,performance,real time,software architecture,optical character recognition,semantic networks,error rate,real time systems,pattern recognition,layout,computer architecture | Computer vision,Architecture,Computer science,Word error rate,Lazy evaluation,Handwriting recognition,Optical character recognition,Theoretical computer science,Semantic network,Artificial intelligence,Software architecture,Trie | Conference |
ISSN | ISBN | Citations |
1520-5363 | 0-8186-7898-4 | 4 |
PageRank | References | Authors |
1.22 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| L. Du | 1 | 4 | 1.22 |
| Andy Downton | 2 | 110 | 17.35 |
| Simon M. Lucas | 3 | 1660 | 137.66 |
| Badr Al-Badr | 4 | 83 | 8.75 |