Abstract
New large class filters are used for the automatic recognition of characters. A special set of multi-level multi-filters (referred to as “iconic filters”) is described for use in the super-class recognition problem. Different types of iconic filters are considered and the results of such tests are reported. System performance under simulated nonideal conditions is detailed. The observed behavior of iconic filters is quantified, and an initial explanation for the effect of a large number of training set images is provided. New solutions are advanced, and the the utility of iconic filters for large multi-class problems is demonstrated. This is the first data to be reported on the use of multi-level multi-filters for a large class pattern recognition problem.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2-27 |
| Number of pages | 26 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 726 |
| DOIs | |
| State | Published - Mar 27 1987 |
| Externally published | Yes |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Instrumentation
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
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