چکیده مقاله
Biometrics science is one of identification methods in which it is tried to determine identity of human based on his behavioral or physiological characteristics Among different biometrics methods, palmprint is one of the most reliable ways to identify people because characteristics are extracted from large area of palmprint and don’t change during lifetime Different techniques consider the challenge of increasing accuracy and reducing time In this research, SURF algorithm has been investigated to identify identity which aims to investigate performance time of algorithm and to assess accuracy of its performance In methodology of this research first, High Boost Sharpening pre processing has been conducted on images, then feature extraction and description of key points have been done using SURF1 algorithm and descriptions are saved in a matrix in classifier Finally, key points of requested image are extracted and theses points are described, then their distance is calculated from each saved descriptions in previous step and correlated image of those descriptions which have the least distance gets chosen FLANN2 has been used for classification and PolyUpalmprint database is used to assess algorithm capability Experimental results on PolyU palmprint database show that accuracy rate of SURF algorithm gained 98%
کلیدواژهها
نویسندگان
Saeed Noroozi Shirmard
Department of Computer Zanjan Branch Islamic Azad University, Zanjan, Iran
Mahdi Hariri
Department of Electricity Zanjan Branch Islamic Azad University, Zanjan, Iran
شیوه ارجاع
Noroozi Shirmard, Saeed and Hariri, Mahdi,1396,Palmprint Verification Based on Extracted Features Using SURF Algorithm and FLANN Classifier,Computerized National Conference, Information Technology and AI Applications,Ahvaz
ارائهشده در
مجموعه مقالات کنفرانس ملی کامیپوتر،فناوری اطلاعات و کاربردهای هوش مصنوعی18 بهمن 1396 · اهواز