Facial Recognition in Web Camera using Deep Learning under Google COLAB
V. Neethidevan, Mepco Schlenk Engineering College(Autonomous) Sivakasi
Image processing, Neural Network, Deep learning, Computer vision, Video analytics
Face recognition is a method used to identify or verifying the identity of an individual using their face. Now a days systems could be trained to check inputs in the form of photos, video, or in real-time. This kind of systems finds many applications Face recognition is a popular and evergreen area for most research people. Over the period of time, many different algorithms were introduced by the researchers across the globe. Identification of individual using facial image recognition is used in many real time applications like allowing access to server secured locations, opening doors in working place and unlocking a laptop or mobile. Nowadays anybody and add facial image recognition to their applications by simply invoking the suitable APIs provided by several service providers like Amazon, IBM and Google. Still more challenges are available for the researchers like Aging, Illumination, Face Direction and Facial Expressions that greatly affects the of the performance of the system. This paper deals with recognizing the faces of various users with the help of webcam. When the user enters a class room, his image is captured through a web cam and processed by the python code using cascade classifier used to detect each face in a given image. Then in the recognition phase each phase in the image is compared with the existing image stored in the database.
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Paper ID: GRDJEV05I070029
Published in: Volume : 5, Issue : 7
Publication Date: 2020-07-01
Page(s): 53 - 57
Published in: Volume : 5, Issue : 7
Publication Date: 2020-07-01
Page(s): 53 - 57