Palm Print Uthentication Ttendance Monitoring System Using OpenCV
Palm Print uthentication ttendance Monitoring System using OpenCV
SHEENA LOU A. DELUAO AND PAUL DAVID CONQUILLA
,
Ateneo de Davao University 1. INTRODUCTION
Biometrics is widely used nowadays for personal identification or verification based on physiological and biological features. It is easy to acquire and unique for every individual. There are various biometric features such as iris, fingerprint, face, palm print and etc. Among all the biometric features, fingerprint is the most widely used. Many access control systems adopt biometric features to replace digit-based password. Biometric was also integrated to the attendance system which makes it easier to monitor because of its automation. Most organization having an automated attendance system uses fingerprint scanners or bar code scanners for authentication.
2.
BACKGROUND OF THE STUDY
The previous approach in monitoring attendance was manually taking and maintaining attendance records which was a very inconvenient task. Then later on, biometric scanners and bar code scanners are developed but these have its drawbacks. In most attendance monitoring system uses fingerprint biometrics and it is a very reliable in personal authentication but it requires fingerprint scanners that cost a lot. These scanners, in later use, will start to have hardware defects and if in great damage, it can’t be used anymore and a new scanner will be needed. Since these scanners are used by different people, health issues might come into place. Diseases or viruses can be easily transmitted because physical contact is needed in scanning fingerprint. The bar code scanner also is not that reliable. Bar codes can be obtained from a person
’s
ID and it can be easily lost or stolen from the owner. In this paper, an automated biometric attendance monitoring system using the palm print is introduced. The authentication involves acquiring employees palm print image, not with the use of scanners but through the use of digital camera,
SHEENA LOU A. DELUAO AND PAUL DAVID CONQUILLA
,
Ateneo de Davao University 1. INTRODUCTION
Biometrics is widely used nowadays for personal identification or verification based on physiological and biological features. It is easy to acquire and unique for every individual. There are various biometric features such as iris, fingerprint, face, palm print and etc. Among all the biometric features, fingerprint is the most widely used. Many access control systems adopt biometric features to replace digit-based password. Biometric was also integrated to the attendance system which makes it easier to monitor because of its automation. Most organization having an automated attendance system uses fingerprint scanners or bar code scanners for authentication.
2.
BACKGROUND OF THE STUDY
The previous approach in monitoring attendance was manually taking and maintaining attendance records which was a very inconvenient task. Then later on, biometric scanners and bar code scanners are developed but these have its drawbacks. In most attendance monitoring system uses fingerprint biometrics and it is a very reliable in personal authentication but it requires fingerprint scanners that cost a lot. These scanners, in later use, will start to have hardware defects and if in great damage, it can’t be used anymore and a new scanner will be needed. Since these scanners are used by different people, health issues might come into place. Diseases or viruses can be easily transmitted because physical contact is needed in scanning fingerprint. The bar code scanner also is not that reliable. Bar codes can be obtained from a person
’s
ID and it can be easily lost or stolen from the owner. In this paper, an automated biometric attendance monitoring system using the palm print is introduced. The authentication involves acquiring employees palm print image, not with the use of scanners but through the use of digital camera,