face recognition system_degree

7/29/2019 Face Recognition System_degree

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FACE RECOGNITION SYSTEM

Group Members

1. Ashtekar Mahadev C.2. Narute Ratnagouri B.3.

Unde Mayur A.


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ABSTRACT:

Abstract:

This paper describes a Class attendance system. It uses Face Recognition as the

parameter for marking the Attendance of students.

If the student is present an SMS is sent to the parent. Authentication is a significant

issue in system control in computer based communication. Human face recognition

is an important branch of biometric verification and has been widely used in many

applications, such as video monitor system, human-computer interaction, and door

control system and network security. Our system will be use for Students

Attendance

System which will integrate with the face recognition technology using Principal

Component Analysis (PCA) algorithm.

Our project deals with face recognition for college libraries or anywhere like

crowdie areas, these areas are

1) FOR COLLEGE LIBRARY.We can use this system for colleges that is we can recognize all the

database of students those are allotted in college so that it will easier to find

all the data of students.

2) FOR OUTSIDE THE CLASSROOMS.

We can also use this system for attendance purpose.

3) FOR COLLEGE ENTRY GATES.


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INTRODUCTION

Three main tasks of face recognition may be named: document controlAccess control and database retrieval. The term document control means

the verification of a human by comparison his/her actual camera image with a

document photo. Access control is the most investigated task in the field. Suchsystems compare the portrait of a tested person with photos of people who haveaccess permissions to joint used object. The last task arises when it is necessary to

determine name and other information about a person just based on his/her one

casual photo. Because of great difference between the tasks there is not a universalapproach or algorithm for face recognition. We tested several methods for

mentioned above tasks: geometric approach, elastic matching and neuron nets.

Summary of our experiments are described below.

Attendance is the most basic job in every institution or organization.

Manual methods have been used since a long time. Integrating Face

Recognition for attendance system is an innovative technique

Block Diagram:-

Micro

Controller

LCD

Buzzer

MAX232 GSM

Face recognition

by PCA


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Face Recognition Implementation Methodology PCA is an ideal method for

recognizing statistical patterns in data. The underlying concept of face recognition

with PCA is used in this approach. PCA is a useful statistical technique that has

found application in fields such as face recognition and image compression, and is

a common technique for Finding patterns in data of high dimension

Controller role is send the attendance to parents of the student via gsm when face

get recognized if not buzzer get activate

CONCLUSION

We are presenting our experimental study of face recognition approaches,

Which may be applied in identification systems, document control and accesscontrol? An original algorithm of pupil detection oriented for low-contrast imagewas described. The proposed face similarity meter was found to perform

satisfactorily in adverse conditions of exposure, illumination and contrastvariations, and face pose.

We achieved the recognition accuracy of 98.5%, 92.5% and 94 % for thepresented approaches, correspondingly. It may be improved by utilization any

additional features. Cruising the warping space more efficiently, e.g. using a

corresponded faces rotation and gesture geometric model, and may speed up the

execution time.

ADVANTAGES

Less time delays Quick response time Fully automate system

APPLICATION

At Tollbooth. Security Guard Cabins/security areas such bank locker ,atm. Replacement for thumb detection. (Attendance system)


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Physical access control (smart doors).

REFERENCE

1 ) N. Otsu, A threshold selection method from the gray-level histograms // IEEETrans. on Syst., Man, Cybern.-1979.- Vol. SMC-9.- P. 62-67.

2) R. Brunelli and T. Poggio, Face recognition: features versus templates // IEEE

Trans. on PAMI.-1993. - Vol. 15.- P.1042-1052.

3) The 6-th International Conference on Pattern Recognition and Image AnalysisOctober 21-26, 2002, Velikiy Novgorod, Russia, pp. 707-711 THREE

APPROACHES FOR FACE RECOGNITION

V.V. Starovoitov1, D.I Samal1, D.V. Briliuk1

face recognition system_degree

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