Abstract
We describe two optical systems based on the radial basis function approach to pattern classification. An optical-disk-based system for handwritten character recognition is demonstrated. The optical system computes the Euclidean distance between an unknown input and 650 stored patterns at a demonstrated rate of26, 000 pattern comparisons/s. The ultimate performance of this system is limited by optical-disk resolution to 1011 binary operations/s. An adaptive system is also presented that facilitates on-line learning and provides additional robustness.
Original language | English (US) |
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Pages (from-to) | 1370-1379 |
Number of pages | 10 |
Journal | Applied optics |
Volume | 32 |
Issue number | 8 |
DOIs | |
State | Published - Mar 10 1993 |
Keywords
- Neural networks
- Optical disk
- Pattern recognition
- Radial basis functions
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
- Engineering (miscellaneous)
- Electrical and Electronic Engineering