سال انتشار: ۱۳۹۰

محل انتشار: نوزدهمین کنفرانس مهندسی برق ایران

تعداد صفحات: ۶

نویسنده(ها):

mohsen ghazvini – islamic azad university mahdishahr branch
hiwa sufikarimi – faculty of electrical engineering iran university of science and technology
karim mohammadi –

چکیده:

because of some complex distortions which occur in fingerpring the fingerprint matching is still known as a difficult problem in this paper we propose a fingerpring matching method based on gentic algorithm since in the low quality images minutiae extraction error is high so in this method we have used the local properties of minutiae also in this paper a new kind of triangle descriptors are proposed which uses these descriptors properties the approximated value of tranfer parameters for alignment and similarity between two fingerprints can be attained these descriptors have been used to generate the initial population and are applied to the genetic algorithm.