'Face recognition system' diaporamas de présentation

Introduction to Face Recognition and Detection

Introduction to Face Recognition and Detection. Outline. Face recognition Face recognition processing Analysis in face subspaces Technical challenges Technical solutions Face detection Appearance-based and learning based approaches Neural networks methods AdaBoost-based methods

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Introduction to Face Recognition and Detection

Introduction to Face Recognition and Detection. Outline. Face recognition Face recognition processing Analysis in face subspaces Technical challenges Technical solutions Face detection Appearance-based and learning based approaches Neural networks methods AdaBoost-based methods

1.02k views • 50 slides

Face Recognition Committee Machine: Methodology, Experiments and A System Application

Face Recognition Committee Machine: Methodology, Experiments and A System Application. Oral Defense by Sunny Tang 15 Aug 2003. Outline. Introduction Face Recognition Problems and Objectives Face Recognition Committee Machine Committee Members Result, Confidence and Weight

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Biometrics in Security Svetlana V. Drachova-Strang CPSC 681 Feb 23, 2006

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Face Recognition Rashmi Shastri

Face Recognition Rashmi Shastri. Problem definition. Determine the identity of a face in an image The image can be a frame from a video Processing needs to be fast Classification problem Need faces images for training. Motivation: Security. Recognize criminals

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How does the Biometric System help us?

Streamline the workforce with Biometric System. r Manage attendance, leaves, holidays and OT very swiftly. r The Biometric Devices can save you time, money and human effort.r And hence it reduces the error while processing salary. r With the help of Cloud-based Fingerprint Attendance System data can save attendance records automatically on cloud storage.r Face Recognition System can also help you to manage attendance.r Even in heavy industrial atmosphere, where fingers are bruised or oily, face recognition works better.

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Face Recognition Based Attendance System with Auto Alert to Guardian Using Call and SMS

Now a days the wise attending management system victimization face detection techniques. Daily attending marking could also be a typical and vital activity in colleges and colleges for checking the performance of students. Manual attending maintaining is tough methodology, significantly for large cluster of students. Some machine driven systems developed to x beat these difficulties, have drawbacks like worth, faux attending, accuracy, meddlesomeness. To beat these drawbacks, there is need of good and automatic attending system. We've a bent to unit implementing attending system victimization face recognition. Since face is exclusive identity of person, the problem of pretend attending and proxies could also be resolved. The system uses native binary pattern face recognition technique because it is fast, straightforward and has larger success rate. Also, its pro vision to have an effect on intensity of sunshine draw back and head produce draw back that produces it effective. This wise system could also be degree effective because of maintain the degree will less squat recognition system is planned supported appearance based choices that concentrate on the shortened squatter image rather than native countenance. The remainder step in squatter recognition system is squatter detection Viola Jones squatter detection methodology that capable of method photos terribly whereas achieving higher detection rates is utilized. The complete squatter recognition methodology could also be divided into a pair of parts squatter detection and squatter identification. For face detection, Viola Jones face detection methodology has been used out of the many face detection ways that. Once face detection, face is cropped from the actual image to urge obviate the background. Chemist faces and shear faces ways that are used for face identification. Average photos of subjects area unit used as coaching job set to spice up the accuracy of identification. Diksha Ghare | Prajakta Katakdhod | Shraddha Ujgare | Komal Suskar | Prof. Amruta Surana "Face Recognition Based Attendance System with Auto Alert to Guardian using Call and SMS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23928.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/23928/face-recognition-based-attendance-system-with-auto-alert-to-guardian-using-call-and-sms/diksha-ghare

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Face Recognition Based Attendance System with Auto Alert to Guardian Using Call and SMS

Now a days the smart attendance management system using face detection techniques. Daily attendance marking is a common and important activity in schools and colleges for checking the performance of students. Manual Attendance maintaining is difficult process, especially for large group of students. Some automated systems developed to overcome these difficulties, have drawbacks like cost, fake attendance, accuracy, intrusiveness. To overcome these drawbacks, there is need of smart and automated attendance system. We are implementing attendance system using face recognition. Since face is unique identity of person, the issue of fake attendance and proxies can be solved. Diksha Ghare | Prajakta Katakdhond | Shraddha Ujgare | Komal Suskar | Prof. Amruta Surana "Face Recognition Based Attendance System with Auto Alert to Guardian Using Call and SMS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1 , December 2018, URL: https://www.ijtsrd.com/papers/ijtsrd19186.pdf Paper URL: http://www.ijtsrd.com/engineering/computer-engineering/19186/face-recognition-based-attendance-system-with-auto-alert-to-guardian-using-call-and-sms/diksha-ghare

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Smart Door Access using Facial Recognition

Face is a complex multidimensional visual model and developing a computational model for face recognition is difficult. The paper presents a methodology for face recognition based on information theory approach of coding and decoding the face image. The goal is to implement the system model for a particular face and distinguish it from a large number of stored faces with some real time variations as well. The Eigenface approach uses Principal Component Analysis PCA algorithm for the recognition of the images. It gives us efficient way to find the lower dimensional space. In today's world, face recognition is an important part for the purpose of security and surveillance. Hence there is a need for an efficient and cost effective system. Our goal is to explore the feasibility of implementing Raspberry Pi based face recognition system using conventional face detection and recognition techniques such as Haar detection and PCA. This paper aims at taking face recognition to a level in which the system can replace the use of passwords and RF I Cards for access to high security systems and buildings. With the use of the Raspberry Pi kit, we aim at making the system cost effective and easy to use, with high performance. Amit Deshwal | Mohnish Chandiramani | Umesh Jagtap | Prof. Amruta Surana "Smart Door Access using Facial Recognition" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-2 , February 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21363.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/21363/smart-door-access-using-facial-recognition/amit-deshwal

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