The method of fast correlation using ternary templates for object recognition on images
Автор: Glumov Nikolay Ivanovich, Myasnikov Evgeniy Valerievich, Kopenkov Vasiliy Nikolaevich, Chicheva Marina Alexandrovna
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений: Восстановление изображений, выявление признаков, распознавание образов
Статья в выпуске: 3 т.32, 2008 года.
Бесплатный доступ
The task of recognition and position detection of fragments corresponding to one of templates of a set is considered in this work. The proposed method of fast correlation using a set of ternary templates solve the problems indicated above successfully. The method is applied to solve the two following tasks: the first task is detection of eye position on the face facsimile on the documents and the second one is recognition of machine readable text on the scanned documents.
Correlation, object recognition, document image, eye search, machine-readable data
Короткий адрес: https://sciup.org/14058830
IDR: 14058830
