26-04-2014, 04:02 PM
Algorithm for Efficient Attendance Management: Face Recognition based approach
[attachment=62570]
Abstract
Students attendance in the classroom is very important task and if
taken manually wastes a lot of time. There are many automatic
methods available for this purpose i.e. biometric attendance. All
these methods also waste time because students have to make a
queue to touch their thumb on the scanning device. This work
describes the efficient algorithm that automatically marks the
attendance without human intervention. This attendance is
recorded by using a camera attached in front of classroom that is
continuously capturing images of students, detect the faces in
images and compare the detected faces with the database and mark
the attendance. The paper review the related work in the field of
attendance system then describes the system architecture, software
algorithm and results.
INTRODUCTION
Maintaining the attendance is very important in all the
institutes for checking the performance of students. Every
institute has its own method in this regard. Some are taking
attendance manually using the old paper or file based
approach and some have adopted methods of automatic
attendance using some biometric techniques. But in these
methods students have to wait for long time in making a
queue at time they enter the classroom (20) (21). Many
biometric systems are available but the key authentication
are same is all the techniques (2). Every biometric system
consists of enrolment process in which unique features of a
person is stored in the database and then there are processes
of identification (3) and verification (4). These two
processes compare the biometric feature of a person with
previously stored template captured at the time of
enrollment.
System Algorithm
This section describes the software algorithm for the system.
The algorithm consists of the following steps
Image acquisition
Histogram normalization
Noise removal
Skin classification
Face detection
Face recognition
Attendance
In the first step image is captured from the camera. There are
illumination effects in the captured image because of
different lighting conditions and some noise which is to be
removed before going to the next steps. Histogram
normalization is used for contrast enhancement in the spatial
domain. Median filter is used for removal of noise in the
image. There are other techniques like FFT and low pass
filter for noise removal and smoothing of the images but
median filter gives good results.
CONCLUSION
This paper introduces the efficient and accurate method of
attendance in the classroom environment that can replace
the old manual methods. This method is secure enough,
reliable and available for use. No need for specialized
hardware for installing the system in the classroom. It can
be constructed using a camera and computer. There is a
need to use some algorithms that can recognize the faces in
veil to improve the system performance.
[attachment=62570]
Abstract
Students attendance in the classroom is very important task and if
taken manually wastes a lot of time. There are many automatic
methods available for this purpose i.e. biometric attendance. All
these methods also waste time because students have to make a
queue to touch their thumb on the scanning device. This work
describes the efficient algorithm that automatically marks the
attendance without human intervention. This attendance is
recorded by using a camera attached in front of classroom that is
continuously capturing images of students, detect the faces in
images and compare the detected faces with the database and mark
the attendance. The paper review the related work in the field of
attendance system then describes the system architecture, software
algorithm and results.
INTRODUCTION
Maintaining the attendance is very important in all the
institutes for checking the performance of students. Every
institute has its own method in this regard. Some are taking
attendance manually using the old paper or file based
approach and some have adopted methods of automatic
attendance using some biometric techniques. But in these
methods students have to wait for long time in making a
queue at time they enter the classroom (20) (21). Many
biometric systems are available but the key authentication
are same is all the techniques (2). Every biometric system
consists of enrolment process in which unique features of a
person is stored in the database and then there are processes
of identification (3) and verification (4). These two
processes compare the biometric feature of a person with
previously stored template captured at the time of
enrollment.
System Algorithm
This section describes the software algorithm for the system.
The algorithm consists of the following steps
Image acquisition
Histogram normalization
Noise removal
Skin classification
Face detection
Face recognition
Attendance
In the first step image is captured from the camera. There are
illumination effects in the captured image because of
different lighting conditions and some noise which is to be
removed before going to the next steps. Histogram
normalization is used for contrast enhancement in the spatial
domain. Median filter is used for removal of noise in the
image. There are other techniques like FFT and low pass
filter for noise removal and smoothing of the images but
median filter gives good results.
CONCLUSION
This paper introduces the efficient and accurate method of
attendance in the classroom environment that can replace
the old manual methods. This method is secure enough,
reliable and available for use. No need for specialized
hardware for installing the system in the classroom. It can
be constructed using a camera and computer. There is a
need to use some algorithms that can recognize the faces in
veil to improve the system performance.