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V poslednee desqtiletie nablüdaetsq tendenciq k neumolimomu uniwersal'nomu harakteru, kogda ubeditel'nye i trebuüschie minimal'nyh usilij sistemy registracii, bez somneniq, koordiniruütsq w mobil'nyh telefonah, awtomobilqh, terapewticheskih instrumentah i pochti w kazhdoj chasti nashej zhizni. Raspoznawanie lic - äto zadanie, kotoroe lüdi wypolnqüt regulqrno i legko w swoej powsednewnoj zhizni. Process raspoznawaniq lic wklüchaet w sebq izuchenie chert lica na izobrazhenii, raspoznawanie ätih chert i srawnenie ih s odnim iz mnozhestwa lic w baze dannyh. Suschestwuet mnozhestwo algoritmow, sposobnyh wypolnqt' raspoznawanie lic, takih kak: Analiz glawnyh komponent, Diskretnoe kosinusnoe preobrazowanie, metody 3D raspoznawaniq, metod wejwletow Gabora i t.d. Znachimost' sistem raspoznawaniq lic wozrosla w poslednie neskol'ko desqtiletij.
About the author
Gurpreet Kaur, Coordinator of School & Assistant Professor (Agriculture) School of Agriculture & Natural Sciences, CT University, Punjab.Jimmy Singla, Professor & Head of School of Engineering and Technology, CT University, Punjab.Danish Meiraj, Working as an Assistant Professor - School of Engineering and Technology, CT University, Punjab.
