Open AccessFace and Liveliness Detection Based Smart Bank Locker
Author(s) -
Prof. Poonam Hadke,
Mayur Khandagale,
Asmita Pawar,
Vaishnavi Rakh
Publication year - 2022
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-2635
Subject(s) - biometrics , facial recognition system , computer science , identification (biology) , three dimensional face recognition , face detection , artificial intelligence , process (computing) , face (sociological concept) , object class detection , computer vision , 3d single object recognition , face recognition grand challenge , pattern recognition (psychology) , object (grammar) , cognitive neuroscience of visual object recognition , social science , botany , sociology , biology , operating system
Face is one of the easiest ways to differentiate each other's identities. Facial recognition is a personal identification system that uses the personal characteristics of someone to identify who you are. The process of recognizing a person's face is basically it consists of two stages, namely facial recognition, in which this process occurs most frequently immediately to humans, except under circumstances where the object is available in a short period of time far, next is an introduction, which recognizes faces as individuals. Stage then it is repeated and developed as a model for face image recognition (face recognition) is one of the most widely studied biometric technologies and developed by experts. There are two types of currently popular methods of advanced facial recognition pattern namely, Eigen face method and Fisher face method. We use fisher face a monitoring method to verify any system. The location of this project is facing image processing system. The software requirements for this project are an anaconda.