24-08-2016, 03:00 PM
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Abstract:
Aiming at the shortcomings in existing attendance mode applied in classroom, a new attendance system in classroom based on face image is proposed in this paper. This system includes face detection and face recognition. The rationale of this system is introduced in brief, and the algorithms of face detection and recognition used in this system are explained in detail. Experimental results show that the system is efficient.
Introduction
Checking on attendance in classroom is a very important part of the management of colleges. The conventional way of checking on attendance in classroom is calling or making a sign, which is laborious and troublesome and waste a lot of time. After having these issues in mind we design an attendance system used in classroom which can complete this task conveniently.
As is known that many biometric techniques such as voice identification, iris recognition, fingerprint identification and face recognition are used for objective identification and verification in various fields[1,2]. In our proposed classroom attendance system, we use face recognition technique to check on attendance. This paper covers the topics on face detection, face recognition and our new system, the details of processing of classroom image including detection, morphological filter, segmentation, extracting features, classfication, experiment and its result.
2 Rationale of classroom attendance system
A classroom color image obtained by common mobilephone camera is used as an input. This image should contain present students’ face images. Firstly, considering the skin-color feature, we search the likely face regions based on simple skin-color model. Remove the noise of input image by morphological filter, mark out the face regions with red line and then segment them. Secondly, extract the feature of face image using Principle Component Analysis and complete the face recognition follows the Nearest Neighbor algorithm. Finally, the system counts out the present students and outputs the student ID.
3 Face Detection
3.1 skin-color model[3]
Skin color is perhaps the most distinguishing and dominant feature in face
image. Several color spaces such as RGB, YCbCr, HSV, YIQ, etc are commonly used. In RGB space the luminance information is mixed with the chroma information, however which in YCbCr space is separated. And the skin colors of people with different ages and different races are collected in a small range in YCbCr space [4].
Considering the reasons above and the background of classroom image is always stable and few colors of it are the same to the skin color, we choose the simple skin-color model in YCbCr space. The algorithm is carried out as follows:
Abstract:
Aiming at the shortcomings in existing attendance mode applied in classroom, a new attendance system in classroom based on face image is proposed in this paper. This system includes face detection and face recognition. The rationale of this system is introduced in brief, and the algorithms of face detection and recognition used in this system are explained in detail. Experimental results show that the system is efficient.
Introduction
Checking on attendance in classroom is a very important part of the management of colleges. The conventional way of checking on attendance in classroom is calling or making a sign, which is laborious and troublesome and waste a lot of time. After having these issues in mind we design an attendance system used in classroom which can complete this task conveniently.
As is known that many biometric techniques such as voice identification, iris recognition, fingerprint identification and face recognition are used for objective identification and verification in various fields[1,2]. In our proposed classroom attendance system, we use face recognition technique to check on attendance. This paper covers the topics on face detection, face recognition and our new system, the details of processing of classroom image including detection, morphological filter, segmentation, extracting features, classfication, experiment and its result.
2 Rationale of classroom attendance system
A classroom color image obtained by common mobilephone camera is used as an input. This image should contain present students’ face images. Firstly, considering the skin-color feature, we search the likely face regions based on simple skin-color model. Remove the noise of input image by morphological filter, mark out the face regions with red line and then segment them. Secondly, extract the feature of face image using Principle Component Analysis and complete the face recognition follows the Nearest Neighbor algorithm. Finally, the system counts out the present students and outputs the student ID.
3 Face Detection
3.1 skin-color model[3]
Skin color is perhaps the most distinguishing and dominant feature in face
image. Several color spaces such as RGB, YCbCr, HSV, YIQ, etc are commonly used. In RGB space the luminance information is mixed with the chroma information, however which in YCbCr space is separated. And the skin colors of people with different ages and different races are collected in a small range in YCbCr space [4].
Considering the reasons above and the background of classroom image is always stable and few colors of it are the same to the skin color, we choose the simple skin-color model in YCbCr space. The algorithm is carried out as follows: