Optimum Character Encryption And Extraction For Optical Correlation Techniques

James F. Hawk; James C. Martin; Don A. Gregory; William A. Christens-Barry

doi:10.1117/12.962230

5 February 1990 Optimum Character Encryption And Extraction For Optical Correlation Techniques

James F. Hawk, James C. Martin, Don A. Gregory, William A. Christens-Barry

Proceedings Volume 1151, Optical Information Processing Systems and Architectures; (1990) https://doi.org/10.1117/12.962230
Event: 33rd Annual Technical Symposium, 1989, San Diego, United States

Abstract

An important subset of pattern recognition applications permit the representation of data by characters which have been optimized for the type of data and the type of search to be performed. An example of this is the search for biologically important patterns within the sequences of nucleotide subunits of deoxyribonucleic acid (DNA). In this case the four distinct subunits of DNA must be represented and "wildcard" or metacharacters are needed to permit flexible searches for sequence patterns. Due to the rapidly increasing availability of DNA sequence information, more rapid and interactive analytical techniques are needed to make full use of this data. This study seeks to design optimal characters for use in an optical correlator recognition device. Characters which are compact, easily distinguishable and compatible with current coherent light modulators have been designed. Preliminary work on these representations has been guided by computer modeling of the optical recognition process. Promising characters have been tested experimentally in a VanderLugt system. The use of laser printers and photo-typesetters to prepare original test images will be discussed.

Citation Download Citation

James F. Hawk, James C. Martin, Don A. Gregory, and William A. Christens-Barry "Optimum Character Encryption And Extraction For Optical Correlation Techniques", Proc. SPIE 1151, Optical Information Processing Systems and Architectures, (5 February 1990); https://doi.org/10.1117/12.962230

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