KAFT TASVIRINI AUTENTIFIKATSIYA QILISHDA KONTAKTSIZ USULDA OLINGAN TASVIRLAR ORQALI YAXSHILASH USULLARI
Ключевые слова:
SIFT, OLOF, SURF, MSIFT, GPDS-CL, EER, FAR, FRR, kontaksiz va kontaktli tizimlar, Gabor filteriАннотация
Kaft tasviri identifikatsiyasi sud-tibbiyot va tijorat ilovalari uchun mashhur va istiqbolli biometrik usullardan biri sifatida paydo bo’ldi. So’nggi yillarda kontaktsiz tizim gigienik muammolarni hal qilish va foydalanuvchilarni qabul qilishni yaxshilash uchun maqbul variant sifatida paydo bo’ldi. Kontaktsiz kaft tasvirlarda sezilarli o’lchov, aylanish, okklyuzion va tarjima o’zgarishlarining mavjudligi bunday o’zgarishlarga bardoshli xususiyatlarni ajratib olish yondashuvlarini talab qiladi. Ushbu maqolada kaft tasvirlarini kontaktsiz autentifikatsiya qilish bilan bog’liq muammolarni muntazam ravishda ko’rib chiqiladi va ikkita umumiy ma’lumotlar bazasida ishlashni baholash taqdim etiladi. Ikkita kontaktsiz usulda to’plangan maʼlumotlar bazasidan olingan tasvirlar boʻyicha olib borgan eksperimental natijalari shuni koʻrsatadiki, Scale Invariant Feature Transform (SIFT) funksiyalari kontaktsiz kaft tasvirini tasvirlar uchun ilgari qoʻllanilgan (eng) istiqbolli Ortogonal Line Ordinal Features (OLOF) yondashuviga qaraganda ancha yaxshi ishlaydi. Eksperimental natijalar yanada ishonchli ish faoliyatini yaxshilash uchun OLOFdan olingan kuchli SIFT muvofiqlik ballari bilan kombinatsiyasidan foydalanish mumkinligini ko’rsatadi. Erishilgan xato ko’rsatgichlari boshqa kontaktga asoslangan yondashuvlarga o’xshash xato ko’rsatgichlari bilan boshqariladigan va nazoratsiz muhit sharoitida ushbu xususiyatlarning yaxshi ishlashini ko’rsatadi.
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