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i need face recognition mini project for students iith all ppts and documentation

face recognition with e attendance mini project for cse

Abstract
In this paper, we propose a system that takes the attendance of students for classroom lecture. Our system takes the attendance automatically using face recognition. However, it is difficult to estimate the attendance precisely using each result of face recognition independently because the face detection rate is not sufficiently high. In this paper, we propose a method for estimating the attendance precisely using all the results of face recognition obtained by continuous observation. Continuous observation improves the performance for the estimation of the attendance We constructed the lecture attendance system based on face recognition, and applied the system to classroom lecture. This paper first review the related works in the field of attendance management and face recognition. Then, it introduces our system structure and plan. Finally, experiments are implemented to provide as evidence to support our plan. The result shows that continuous observation improved the performance for the estimation of the attendance.There are several models of Face Recognition System or Time an Attendance Access Control systems used in industry. These are low cost and very durable face recognition time and attendance machines. Best access control systems for all your needs. These are the best machines for factories where your employees hands catches dust. Please contact us now at 9034757673, 9818390836 or info[at]ampletrails.com if you have any query. These are the best attendance machines to be used in factories, construction sites, corporate, companies.There are several models of Face Recognition System or Time an Attendance Access Control systems used in industry. Please click on the model to know the detailed specification of the model. These are low cost and very durable face recognition time and attendance machines. No need to touch machine for marking attendance or for access control. Every thing is done with the face. This even help in maintaining hygiene in an organization. As there is no touch so chances of spreading of communicable diseases are not there.

Best access control systems for all your needs. These are the best machines for factories where your employees hands catches dust. Please contact us at 9034757673, 9818390836 or info[at]ampletrails.com if you have any query. These are the best machines to be used in factories, construction sites, corporates, companies. Please click on the model to know the detailed specification of the model.

Introduction

Recently face recognition is attracting much attention in society of network multimedia information access .Areas such as network security, content indexing and retrieval and video compression benefits from face recognition technology because "people" are the centre of attention in a lot of video .Network access control via face recognition not only makes hackers virtually impossible to steal one's "password", but also increases the user -friendliness in human-computer interaction.

A training set consists of face images from which a set of eigen faces can be generated by performing a mathematical process called principal component analysis(PCA) on a large set of images depicting different human faces .The eigenfaces can be used to represent both existing and new faces we can project a new(mean-subtracted) image on the eigenfaces and thereby record how that new face differs from the mean face .The eigen values associated with each eigenface represent how much the images in the training set vary from the mean image in that direction .We lose information by projecting the image on subset of the eigen vectors ,but we minimize this loss by keeping those eigen faces with the largest eigen values .

In this way each student's input image is matched with the training set image. If a match is found attendance is marked as present else marked as absent for that particular student. This overcomes proxy, identifies punctuality of students and also recognizes lecturers and their punctuality and regularity in handling classes. Administration can know about handling of classes at its chair

Purpose :

To implement e-attendance using eigen face algorithm

During system research researcher studied about the fundamentals about the image processing, face detection techniques and face recognition techniques. Then after analysing them it decided to select appropriate techniques to extract partial face
regions and recognize individuals. The document contains introduction, domain research, system research, project development plan, requirement specification and technical investigation, which contain details about above-mentioned areas.
Finally appropriate image processing techniques, face detection techniques and face recognition techniques were selected and justified along with selection of the project developing methodologies and project developing platforms.