28-02-2011, 10:27 AM
presented by:
MARIYATH K.A
abstract
Iris Scanning is a method of biometric authentication that uses pattern
recognition technique based on high resolution of the irises of an individual
eye. Biometrics is an automated method of capturing a person’s unique
biological data that distinguishes him or her from another individual. Iris
recognition has emerged as one of the most powerful and accurate
identification techniques in the modern world. It has proven to be most fool
proof technique for the identification of individuals with out the use of cards.
PIN’s and passwords. It facilitates automatic identification where by
electronic transactions or access to places, information or accounts are made easier, quicker and more secure
INTRODUCTION
In today’s information age it is not difficult to collect data about an individual and
use that information to exercise control over the individual. Individuals generally do not
want others to have personal information about them unless they decide to reveal it. With
the rapid development of technology, it is more difficult to maintain the levels of privacy
citizens knew in the past. In this context, data security has become an inevitable feature.
Conventional methods of identification based on possession of ID cards or exclusive
knowledge like social security number or a password are not altogether reliable. ID cards
can be almost lost, forged or misplaced: passwords can be forgotten. Such that an
unauthorized user may be able to break into an account with little effort. So it is need to
ensure denial of access to classified data by unauthorized persons. Biometric technology
has now become a viable alternative to traditional identification systems because of its
tremendous accuracy and speed. Biometric system automatically verifies or recognizes
the identity of a living person based on physiological or behavioral characteristics. Since
the persons to be identified should be physically present at the point of identification,
biometric techniques gives high security for the sensitive information stored in
mainframes or to avoid fraudulent use of ATMs.This paper explores the concept of Iris
recognition which is one of the most popular biometric techniques. This technology finds
applications in diverse fields.
1.1 Biometrics-future of identity
Biometric dates back to ancient Egyptians who measured people to identify them.
Biometric devices have three primary components.
1. Automated mechanism that scans and captures a digital or analog image of a living personal characteristic
2. Compression, processing, storage and comparison of image with a stored data.
3. Interfaces with application systems.
A biometric system can be divided into two stages: the enrolment module and the identification module. The enrolment module is responsible for training the system to identity a given person. During an enrolment stage, a biometric sensor scans the person’s physiognomy to create a digital representation. A feature extractor processes the representation to generate a more compact and expressive representation called a template. For an iris image these include the various visible characteristics of the iris such
as contraction, Furrows, pits, rings etc. The template for each user is stored in a biometric system database. The identification module is responsible for recognizing the person.
During the identification stage, the biometric sensor captures the characteristics of the person to be identified and converts it into the same digital format as the template. The resulting template is fed to the feature matcher, which compares it against the stored template to determine whether the two templates match. The identification can be in the form of verification, authenticating a claimed identity or recognition, determining the identity of a person from a database of known persons. In a verification system, when the captured characteristic and the stored template of the claimed identity are the same, the system concludes that the claimed identity is correct. In a recognition system, when the captured characteristic and one of the stored templates are the same, the system identifies the person with matching template.
MARIYATH K.A
abstract
Iris Scanning is a method of biometric authentication that uses pattern
recognition technique based on high resolution of the irises of an individual
eye. Biometrics is an automated method of capturing a person’s unique
biological data that distinguishes him or her from another individual. Iris
recognition has emerged as one of the most powerful and accurate
identification techniques in the modern world. It has proven to be most fool
proof technique for the identification of individuals with out the use of cards.
PIN’s and passwords. It facilitates automatic identification where by
electronic transactions or access to places, information or accounts are made easier, quicker and more secure
INTRODUCTION
In today’s information age it is not difficult to collect data about an individual and
use that information to exercise control over the individual. Individuals generally do not
want others to have personal information about them unless they decide to reveal it. With
the rapid development of technology, it is more difficult to maintain the levels of privacy
citizens knew in the past. In this context, data security has become an inevitable feature.
Conventional methods of identification based on possession of ID cards or exclusive
knowledge like social security number or a password are not altogether reliable. ID cards
can be almost lost, forged or misplaced: passwords can be forgotten. Such that an
unauthorized user may be able to break into an account with little effort. So it is need to
ensure denial of access to classified data by unauthorized persons. Biometric technology
has now become a viable alternative to traditional identification systems because of its
tremendous accuracy and speed. Biometric system automatically verifies or recognizes
the identity of a living person based on physiological or behavioral characteristics. Since
the persons to be identified should be physically present at the point of identification,
biometric techniques gives high security for the sensitive information stored in
mainframes or to avoid fraudulent use of ATMs.This paper explores the concept of Iris
recognition which is one of the most popular biometric techniques. This technology finds
applications in diverse fields.
1.1 Biometrics-future of identity
Biometric dates back to ancient Egyptians who measured people to identify them.
Biometric devices have three primary components.
1. Automated mechanism that scans and captures a digital or analog image of a living personal characteristic
2. Compression, processing, storage and comparison of image with a stored data.
3. Interfaces with application systems.
A biometric system can be divided into two stages: the enrolment module and the identification module. The enrolment module is responsible for training the system to identity a given person. During an enrolment stage, a biometric sensor scans the person’s physiognomy to create a digital representation. A feature extractor processes the representation to generate a more compact and expressive representation called a template. For an iris image these include the various visible characteristics of the iris such
as contraction, Furrows, pits, rings etc. The template for each user is stored in a biometric system database. The identification module is responsible for recognizing the person.
During the identification stage, the biometric sensor captures the characteristics of the person to be identified and converts it into the same digital format as the template. The resulting template is fed to the feature matcher, which compares it against the stored template to determine whether the two templates match. The identification can be in the form of verification, authenticating a claimed identity or recognition, determining the identity of a person from a database of known persons. In a verification system, when the captured characteristic and the stored template of the claimed identity are the same, the system concludes that the claimed identity is correct. In a recognition system, when the captured characteristic and one of the stored templates are the same, the system identifies the person with matching template.