چکیده مقاله
Biometrics has become attractive in areas that require high security and control Of all the technologies out there, facial detection is one of the most widely used and consistent technologies Linear Discriminant Analysis LDA performs dimension reduction while maintaining class discriminatory information as far as possible In this work, we propose the use of projections of training samples into a subspace defined by the between class scatter data and classification based on Support Vector Machine SVM for two classes Our experimental work on four well known face databases clearly shows the effect of between class matrix in two class classification
کلیدواژهها
نویسندگان
Negar Ajdari
Department of Mathematics, Persian Gulf University, Bushehr, Iran
Saeed Karimi Jafarbigloo
Department of Mathematics, Persian Gulf University, Bushehr, Iran
شیوه ارجاع
Ajdari, Negar and Karimi Jafarbigloo, Saeed,1403,A study on the effect of between-class scatter matrix on two-class LDA method,1st International Biennial Conference of Artificial Intelligence and Data Science 2024,Bushehr
ارائهشده در
مجموعه مقالات اولین کنفرانس بین المللی دوسالانه هوش مصنوعی و علوم داده3 اردیبهشت 1403 · بوشهر