Optical correlation filters for large-class OCR applications

David P. Casasent; Anand K. Iyer; Srinivasan Gopalaswamy

doi:10.1117/12.44852

1 August 1991 Optical correlation filters for large-class OCR applications

David P. Casasent, Anand K. Iyer, Srinivasan Gopalaswamy

Proceedings Volume 1470, Data Structures and Target Classification; (1991) https://doi.org/10.1117/12.44852
Event: Orlando '91, 1991, Orlando, FL, United States

Abstract

The performance of two new optical correlation filters (G-MACE and MINACE) for large class (many fonts and true class words) OCR (optical character recognition) applications is considered. We consider filters that can recognize many key words in upper case (UC) and mixed case (MC) and various point sizes in the presence of OCR scanner sampling errors. New results are presented and guidelines for large class filters are advanced.

Citation Download Citation

David P. Casasent, Anand K. Iyer, and Srinivasan Gopalaswamy "Optical correlation filters for large-class OCR applications", Proc. SPIE 1470, Data Structures and Target Classification, (1 August 1991); https://doi.org/10.1117/12.44852

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