Fast and Reliable Biometric Verification System Using Iris

Deshpande, Bhagyashree; Jayaswal, Deepak

doi:10.1109/icicct.2018.8473300

Cited by 3 publications

(2 citation statements)

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“…The parameters of the iris boundaries must be searched for using these two traditional methods across the entire parameter space. In [16], the authors used the watershed transform and circle fitting to locate the outer circle, while the inner circle was found using the Canny edge and fitting circle approach [16]. An iris localization approach for imperfect iris data was put forth in [17].…”

Section: Introductionmentioning

confidence: 99%

Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems

Othman Qadir,

Taujuddin

2024

Int. j. electr. comput. eng. syst. (Online)

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The circular parameters between the pupil and the iris are found using current iris identification techniques but the accuracy creates an issue for the detection process during image processing. The procedure of extracting the iris region from an eye image using circular parameters can be improved via approximately too many approaches in literature but remain some portions under slightly unconstrained circumstances. In this study, we presented a Black Hole Algorithm (BHA) along the Canny edge detector and circular Hough transform-based optimization technique for circular parameter identification of iris segmentation. The iris boundary is discovered using the suggested segmentation approach and a computational model of the pixel value. The BHA looks for the central radius of the iris and pupil. The system uses MATLAB to test the CASIA-V3 database. The segmented images exhibit 98.71% accuracy. For all future access control applications, the segmentation-based BHA is effective at identifying the iris. The integration of the BHA with the Hough transforms and Canny edge detector is the main method by which the iris segmentation is accomplished. This novel technique improves the accuracy and effectiveness of iris segmentation, with potential uses in image analysis and biometric identification.

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Section: Introductionmentioning

confidence: 99%

Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems

Othman Qadir,

Taujuddin

2024

Int. j. electr. comput. eng. syst. (Online)

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“…One approach is using Image processing technique to detect the skimming devices captured through surveillance cameras and does processing. However, this method does not provide adequate solution to security as advanced technologies could be used to manipulate cameras [17][18][19][20]. Additionally, In real time implementations, sophisticated and advanced surveillance cameras needs to be installed to capture clear details of skimming devices which could be cost effective.…”

Section: Introductionmentioning

confidence: 99%

Design and development for detection and prevention of ATM skimming frauds

Hattali

Hussain

Frank

2020

IJEECS

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ATM Skimming is a major concern that needs to be addressed with a specific solution. ATM Skimming is done in two steps. One is stealing the Personal Information that is stored on the Debit card / Credit card using Rain cover connected to the card reader slot (ATM’s real card slot). The second is installing a Fake keypad that can capture the pin code when the card holder enters pin details. Few researchers have proposed solutions to address the issue using Image Processing techniques. However, it does not provide a complete solution in a long term. Hence it is of paramount importance to provide ATM with high security features. In order to solve the issue of ATM Skimming, An Embedded System design is proposed. The research is carried out in two phases. One is detection phase and the second is Prevention Phase. In the detection phase, Hardware components such as Arduino Mega, Force Sensing Resistor (FSR), GPS, GSM and Buzzer are used. Arduino Mega acts as a Central Processor that processes the information received from Force sensing resistor (FSR) and send SMS Messages to ROP and Bank Officials using GSM and informing them about the ATM Location using GPS where the Fraud is taking place. Buzzer can be used at the ATM Locations to alert nearby people. In the prevention Phase, as a preventive measure a Onetime password (OTP) technique is used. If a fraudster somehow succeeds in Fixing fake key pad and Rain Cover at ATM’s real card slot, When he tries to insert debit card, An OTP will be generated and is sent to the Card Holder which in turn he can know someone is trying to make Transactions and quickly he can ask bank officials to Block his account and inform ROP about the same. Expected findings of the proposed work is to detect Fake keypads and Fake card readers using FSR placed at the edges of Original Keypad and card reader slot. Sending messages to ROP, BANK OFFICIALS and CARD HOLDER using GSM. ATM locations are identified using GPS. Buzzers are used to alert nearby people.

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