Open AccessAn Application of Numbers and Characters Recognition on Radar Images
Author(s) -
Prattana Deeprasertkul
Publication year - 2018
Publication title -
international journal of computer and technology
Language(s) - English
Resource type - Journals
ISSN - 2277-3061
DOI - 10.24297/ijct.v17i2.7626
Subject(s) - template , computer science , artificial intelligence , radar , template matching , computer vision , pattern recognition (psychology) , optical character recognition , matching (statistics) , radar imaging , image (mathematics) , mathematics , telecommunications , statistics , programming language
From the project of the date and time reading in the Radar images, the OCR templates technique was applied because some Radar images do not have date and time information in their properties. The method had the problems that the Radar images could not be retrieved when the month names are changed and then the new month name templates had to be created. Therefore, this work has applied Tesseract OCR library to help read the date and time images and used Fast Normalized Cross-Correlation theory to enhance the performance of the template matching and to retrieve more Radar images. The accuracy of results in this program using Fast Normalized Cross-Correlation with OCR templates was 86 percent.