Title :
Mobile based facial recognition using OTP verification for voting system
Author :
Mandavkar, Ashwini Ashok ; Agawane, Rohini Vijay
Author_Institution :
Comput. Eng. (Comput. Networks), K. J. Coll. of Eng. & Manage. Res., Pune, India
Abstract :
As we know in urban areas now a day the voting system is getting most complicated only because of the person´s identity. They only have the voting card as a proof of identification. So there are lots of chances of fake voting. To avoid this we are developing this project which will store the identity of the voters using android mobile through facial recognition systems. This system will capture faces of the voters and match with the existing faces in the stored database. After the confirmation of valid face detected, the OTP (One-Time Password) is generated and send to the voters registered mobile number. Then the voter is validated and he is allowed to do the voting. This is very fast and helpful technique to do the verification of the voters. This will also reduce voter´s time to stand in queue for doing vote.
Keywords :
face recognition; government data processing; mobile computing; principal component analysis; smart phones; Android mobile; OTP verification; PCA; facial recognition system; one-time password; principal component analysis; voting system; Covariance matrices; Databases; Electronic voting; Face recognition; Mobile communication; Nominations and elections; Servers; Eigen Vectors; Eigenface; OTP (One-Time Password); Principal Component Analysis (PCA); Spontaneous facial expression; image processing;
Conference_Titel :
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location :
Banglore
Print_ISBN :
978-1-4799-8046-8
DOI :
10.1109/IADCC.2015.7154786