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A Model for Face Recognition using OpenCV Framework


Author(s):

Ayush Verma , Bharati Vidyapeeth College of Engineering; Kunal Tewatia, Bharati Vidyapeeth College of Engineering

Keywords:

Biometric Security, Face Recognition, OpenCV framework

Abstract:

Security is the first line of defence for any organization. This research focusses on the importance of security in organizations with emphasis on FACE Biometrics. A system is proposed to recognize faces using the WEBCAM of PC through JAVA programming language and OpenCV framework. When a new employee joins in, his/her image is captured and is stored into a database. When the same employee again attempts to check-in, his/her current image is captured and compared with the earlier image stored in the database. The comparison is done based on the pixel values at every location of the image. If more than 75 percent of the pixels match, the image is considered to be of the same person and he/she can check-in successfully. However, if the percentage similarity is less than 75 percent, the image is considered to be a different one than the one stored in the database and check-in becomes unsuccessful. The percentage similarity criteria has been decided according to the hardware used and may vary from system to syatem. Overall, this research presents a steady method of biometric security particularly for small-scale organizations.


Other Details:

Manuscript Id :IJSTEV3I10241
Published in :Volume : 3, Issue : 10
Publication Date: 01/05/2017
Page(s): 492-495
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