Biometric Identification

BIOMETRIC IDENTIFICATION

Introduction

The intensifying menace of planetary terrorist act and narcoterrorism in the 21st century has generated monolithic alterations in the designation of suspected felons. One of the technological high spots in this respect has been biometric designation. Biometricss refers to the scientific discipline of placing human being by analysing biological traits or physical features ( Bolle, 2004 ) . This paper describes the most widely-used signifiers of biometric designation and presents the advantages and disadvantages of each.

Advantages and Disadvantages of Biometric Systems

Biometric designation is an machine-controlled method used to acknowledge a individual based on behavioural or physiological features ( Tipton & A ; Krause, 2004 ) . Behavioral features include voice or script. Physiological features include fingerprint, flag, or manus geometry.

1. Fingerprint analysis

The most normally known biometric system is a the fingerprint analysis ( Bolle, 2004 ) . The rule here is that each person ‘s set of fingerprints is alone. This method requires a user to put his or her finger onto a reader. The individual ‘s fingerprint is scanned and sent to a database where it will be compared, identified, and verified. Fingerprint engineering is widely used today in jurisprudence enforcement, banking, and in selling. The biggest strength of this method is its high truth and low incidence of false credence and its low cost. However, fingerprint engineering is said to hold a high false rejection rate ( where valid users are falsely jilted entree ) . Sometimes, the engineering does non acknowledge accurately in instance of manus injury, age, or disease.

2. Hand geometry

The manus geometry designation method is the 2nd most normally used biometric tool ( Jain, Ross, & A ; Pradhakar, 2004 ) . Basically, it analyzes finger length and the border of a manus. Hand biometric requires a individual to put his or her manus on the device which has pegs to put the manus on. When the manus is put decently in topographic point, the device scans and checks the database for designation or confirmation. While the manus biometric device is easy to incorporate, usage, and can even work despite soiled custodies, the engineering is expensive, has low truth degree, can non read when manus is injured or has suffered from injury, or when a individual has arthritis.

3. Retina engineering

The construct is that it is practically impossible to forge a human retina. The scanner analyzes capillary vass situate in the dorsum of the oculus. Retina biometries requires the individual to put his or her oculus stopping point to a scanner and as the device scans, to concentrate on a specific point while being still ( Jain, Ross, & A ; Pradhakar, 2004 ) . The procedure takes 10-15 proceedingss. Retina engineering has a really high truth rate. However, it is a sensitive procedure, expensive, and rather uncomfortable for those who wear spectacless.

4. Voice engineering

Voice biometries analyzes the pitch or tone of a individual ‘s voice. Voice biometries fall into two classs: voice acknowledgment and address acknowledgment. Voice acknowledgment analyzes quality of the voice while speech acknowledgment interprets what a individual says ( Jain, Ross, & A ; Pradhakar, 2004 ) . The advantages of this system is that is it non-invasive and non susceptible to error due to a cold. However, its truth may be compromised with the presence of acoustics in the room and increased age.

Decision

Biometric designation includes methods such as fingerprint engineering, manus geometry, retina analysis, and voice acknowledgment. Although biometric designation is undeniably cutting border engineering, there are disadvantages present that is built-in with any modern technological systems.

Mentions

Bolle, R. ( 2004 ) . Guide to biometries. New York: Springer.

Jain, A. K. , Ross, A. , & A ; Prabhakar, S. ( explosive detection systems. ) ( 2004 ) . An debut to biometric acknowledgment. In IEEE Transactions on Circuits and Systems for Video Technology ( 14th ed. ) . New York: Springer.

Tipton, H. K. & A ; Krause, M. ( explosive detection systems. ) ( 2004 ) . Information security direction enchiridion. New York: CRC Press.


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