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Dec 20, 2022
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About This Presentation
finger print voting system using arduino uno r3 board and fingerprint sensor
Size: 4.86 MB
Language: en
Added: Dec 20, 2022
Slides: 18 pages
Slide Content
Fingerprint Voting System M.Pradeep -R170447 K.Sreekanth-R170381 P.Naveen -R171050 By
Abstract Our main problem in elections is rigging and slow results due to vote counting. To reduce the rigging, I propose an idea of finger-print voting system . Biometric Finger print devices are used in the Electronic Voting machine for voter verification Here one person can vote only one time. Results can be announced accurately and fastly .
Arduino UNO is a microcontroller board based on the ATmega328P (datasheet). It has 14 digital input/output pins (of which 6 can be used as PWM outputs), 6 analog inputs, a 16 MHz ceramic resonator (CSTCE16M0V53-R0), a USB connection, a power jack, an ICSP header and a reset button. Among those pins we use 7 digital I/o pins, 4 th and 5 th pins are used to enroll the fingerprints. 7 th pin is used for input. 9 th ,10 th ,11 th ,12 th are the pin which are used to the parties.
Fingerprint Sensor
LCD: SDA(Serial data pin) and SCL(Serial Clock Pin). The rest 2 pins for power supply ( Vcc and ground).
Circuit
Enrollment
Working Principle Flowchart of working process of fingerprint voting machine.
Fingerprint Extraction
Image Enhancement: The goal of image enhancement algorithm is to enhance the image of the ridge structures in the recoverable regions and weaken or eliminate the unrecoverable regions.
Minutiae: Minutiae refer to specific points in a fingerprint, these are the small details in a fingerprint that are most important for fingerprint recognition. There are three major types of minutiae features: the ridge ending, the bifurcation, and the dot (also called short ridge) etc.
The way an optical scanner works is by shining a bright light over your fingerprint and taking a digital photo . The light-sensitive microchip makes the digital image by looking at the ridges and valleys of the fingerprint, turning them into 1’s and 0’s, and creates the user’s own personal code The working principle of fingerprint sensor is on Total Internal reflection
Fingerprint Matching The algorithm which we written detects the similarities between two templates extracted by characteristicpoint extraction algorithm. It is done by comparing the position of each structure and characteristics point as shown in figure
Voting process In our System we considered 4 parties for election For all 4 parties, I considered 4 arrays in Voting program In circuit we given 4 switches for 4 parties. We match the finger to being voted , match it with enrolled finger-prints. If the finger matched , vote is matched once. For repeated finger-print the system rejects the vote.
Conclusion Our System reduces frauds in the Voting. It gives the faster results after the election. This system is further extended by integreting Aadhar >> Which is helpful for detect multiple fingers of the person. It is reliable and secure. It reduces the human effort for counting.