International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 06 | June 2022
p-ISSN: 2395-0072
www.irjet.net
KYC FACE RECOGITION USING LBP ALGORITHM SHUBHUM CHAUDHARI, SAMUEL DUNGA, PRANAY MER, VIDYA KAWTIKWAR St. John College of Engineering and Management St. John Educational & Technical Complex Village Vevoor, Manor Road, Palghar (East),Palghar District-401404, Maharashtra, India Assistant Professor, Computer Engineer, St. John College of Engineering and ManagementSt. John Educational & Technical Complex Village Vevoor, Manor Road, Palghar (East), Palghar District-401404, Maharashtra, India --------------------------------------------------------------------------***----------------------------------------------------------------------Abstract – As we all know KYC was launched in India in 2002 but RBI made it mandatory by 2005. Since then we all are
familiar with KYC verification. We all know the procedure of KYC verification. First we have to collect the KYC form and then have to fill it correctly. If we made any mistake while filling the form then we have to collect new form again and have to fill it again. After filling the form correctly we have to wait for our turn and it takes at least 10-15 minutes. On the basis of all this problem we are facing for verification, we want to step forward for resolve this problem. We want to make a website for KYC verification. In this website we can apply for KYC verification process includes Aadhar ID, Voting ID, Passport, Pan card and face identification using webcam. So we can easily verify KYC anytime and anywhere on online platform. It will save our time.
Keywords – nearby Binary patterns (LBP), confront location, confront acknowledgment, outward appearance exam, close by highlights.
I. INTRODUCTION AS we all know KYC was launched in India in 2002 but RBI made it mandatory by 2005.Since then we all are familiar with KYC verification. We all know the procedure of KYC verification. First we have to collect the KYC form and then have to fill it correctly. If we made any mistake while filling the form then we have to collect new form again and have to fill it again. After filling the form correctly we have to wait for our turn and it takes at least 10-15 minutes. On the basis of all this problem we are facing for verification, we want to step forward for resolve this problem. We want to make a website for KYC verification. In this website we can apply for KYC verification process includes Aadhar ID,Voting ID, Passport, Pan card and face identification using webcam. So we can easily verify KYC anytime and anywhere on online platform. It will save our time.
II. LITERATURE SURVEY Face Recognition System Based on LBPHAlgorithm[1] In this paper, we have proposed a system that is using Local Binary Patterns Histogram algorithm for identifying a face. It can recognize both front and side faces and upgrade the value of poor enlightened picture and also expands the recognitionrate in real time. A Secure Banking By Face Recognition Method.[2] There is associate degree imperative want for rising security in banking region. This project we have a tendency to discusses concerning banking transactions exploitation facial identification. The target of this project is to develop a strong automatic formula for transacting cash in higher level security purpose with high recognition rates in varied setting. The biometric authentication code with banking code is a lot of typical ways. The processed info passes through the info of banks and payment systems. Once facial identity is matched then dealings can finished. Haarcascade based mostly formula has been applied for quick and easy face detection from the input image. The result show that the planned formula has able to train a lotof quantity of information and high accuracy. An Efficient Face Recognition System using LBP.[4] In this paper a primary increase for fruitful facial photoexamination is to infer a probable facial portrayal fromthe first face photos. As of past due, nearby Binary styles (LBP) nearby Binary patterns (LBP), confront location,confront acknowledgment, outward appearance exam, close by highlights.
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