Monitoring Attendance Using Biometric
CHAPTER I
THE PROBLEM AND ITS BACKGROUND
Introduction
According to Henry Taub (1949) biometrics is automated method of recognizing a person based on a physiological or behavioral characteristic. Examples of human traits used for biometric recognition include fingerprints, speech, face, retina, iris, handwritten signature, hand geometry, and wrist veins. Biometric recognition can be used in identification mode where the biometric system identifies a person from the entire enrolled population by searching a database for a match.
A system also can be used in verification mode where the biometric system authenticates a person's claimed identity from his/her previously enrolled pattern. Tokens, such as smart cards, magnetic stripe cards, physical keys, and so forth, can be lost, stolen, duplicated, or left at home. Passwords can be forgotten, shared, or observed. There is a great deal of scientific data supporting the idea that "no two fingerprints are alike."Newer methods, even those with a great deal of scientific support, such as
DNA-based genetic matching sometimes do not hold up in court.
Another key aspect is how user-friendly is the system. Most people find it acceptable to have their pictures taken by video cameras or to speak into a microphone.
When discussing the accuracy of a biometric system, it is often beneficial to talk about the equal-error rate or at least to consider the false-acceptance rate and false-rejection rate together. For many systems, the threshold can be adjusted to ensure that virtually no impostors will be accepted. Unfortunately, this often means an unreasonably high number of authorized users will be rejected. To summarize, a good biometric system is one that is low cost, fast, accurate, and easy to use.
Today, the use of technology has been an effective tool on improving such kind of payroll system. In this study, the use of Visual Basic 6.0 and access database will
help
THE PROBLEM AND ITS BACKGROUND
Introduction
According to Henry Taub (1949) biometrics is automated method of recognizing a person based on a physiological or behavioral characteristic. Examples of human traits used for biometric recognition include fingerprints, speech, face, retina, iris, handwritten signature, hand geometry, and wrist veins. Biometric recognition can be used in identification mode where the biometric system identifies a person from the entire enrolled population by searching a database for a match.
A system also can be used in verification mode where the biometric system authenticates a person's claimed identity from his/her previously enrolled pattern. Tokens, such as smart cards, magnetic stripe cards, physical keys, and so forth, can be lost, stolen, duplicated, or left at home. Passwords can be forgotten, shared, or observed. There is a great deal of scientific data supporting the idea that "no two fingerprints are alike."Newer methods, even those with a great deal of scientific support, such as
DNA-based genetic matching sometimes do not hold up in court.
Another key aspect is how user-friendly is the system. Most people find it acceptable to have their pictures taken by video cameras or to speak into a microphone.
When discussing the accuracy of a biometric system, it is often beneficial to talk about the equal-error rate or at least to consider the false-acceptance rate and false-rejection rate together. For many systems, the threshold can be adjusted to ensure that virtually no impostors will be accepted. Unfortunately, this often means an unreasonably high number of authorized users will be rejected. To summarize, a good biometric system is one that is low cost, fast, accurate, and easy to use.
Today, the use of technology has been an effective tool on improving such kind of payroll system. In this study, the use of Visual Basic 6.0 and access database will
help