Performance evaluation of advanced correlation filters for printed character recognition

Leopoldo N. Gaxiola; Victor H. Diaz-Ramirez; Rigoberto Juarez-Salazar

doi:10.1117/12.2676178

4 October 2023 Performance evaluation of advanced correlation filters for printed character recognition

Leopoldo N. Gaxiola, Victor H. Diaz-Ramirez, Rigoberto Juarez-Salazar

Proceedings Volume 12673, Optics and Photonics for Information Processing XVII; 126730D (2023) https://doi.org/10.1117/12.2676178
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Abstract

Correlation filters have been widely used in several pattern recognition applications. These filters can reliably detect and accurately locate a target with good tolerance to geometrical modifications and the presence of additive and nonoverlapping noise in the scene. This work presents an exhaustive performance evaluation of several advanced correlation filters for the task of printed character recognition. Several printed character strings in the English alphabet containing geometrical modifications and nonuniform illumination conditions are recognized using different advanced correlation filters. The performance of each tested filter is characterized in terms of efficiency of character recognition and accuracy of character location estimation.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Leopoldo N. Gaxiola, Victor H. Diaz-Ramirez, and Rigoberto Juarez-Salazar "Performance evaluation of advanced correlation filters for printed character recognition", Proc. SPIE 12673, Optics and Photonics for Information Processing XVII, 126730D (4 October 2023); https://doi.org/10.1117/12.2676178

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