Coherent Optical Pattern Recognition System For Optical Word Recognition On A Microfilm Data Base

Joseph E. Hinds; David Casasent; Frank Caimi

doi:10.1117/12.965605

4 December 1979 Coherent Optical Pattern Recognition System For Optical Word Recognition On A Microfilm Data Base

Joseph E. Hinds, David Casasent, Frank Caimi

Proceedings Volume 0201, Optical Pattern Recognition; (1979) https://doi.org/10.1117/12.965605
Event: 23rd Annual Technical Symposium, 1979, San Diego, United States

Abstract

The results are provided of the second phase of a program to determine the feasibility of fabrication of a coherent optical pattern recognition system to locate all pages in a microfilm data base on which a given key word occurs. Results obtained using an optical frequency plane correlator system with weighted matched spatial filter synthesis in a scaling correlator topology have been most promising. By proper matched spatial filter synthesis and system design, correlation degradations due to various expected differences between the input and reference functions in this optical word recognition system have been decreased to acceptable levels.

Citation Download Citation

Joseph E. Hinds, David Casasent, and Frank Caimi "Coherent Optical Pattern Recognition System For Optical Word Recognition On A Microfilm Data Base", Proc. SPIE 0201, Optical Pattern Recognition, (4 December 1979); https://doi.org/10.1117/12.965605

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available