سال انتشار: ۱۳۸۳

محل انتشار: سومین کنفرانس ماشین بینایی و پردازش تصویر

تعداد صفحات: ۹

نویسنده(ها):

R. Shamsaee – Iran University of Science and Technology
M. Fathy – Iran University of Science and Technology

چکیده:

Wavelet representations are effective tools for feature extraction. This feature of wavelet transformation originates from various levels of information content at different resolution of an Image. Work with all wavelet coefficients is time-consuming process and error prone so the focus of this paper is on a novel way of feature extraction from wavelet coefficients of an Image. This article also will show practical aspect of implementation and filter selection. For better understanding, this paper will adapt signature verification