BIOMETRICS is the measurement of biological data. The term biometrics is commonly used today to refer to the authentication of a person by analysing physical characteristics, such as fingerprints, or behavioural characteristics, such as signatures. Since many physical and behavioural characteristics are unique to an individual, biometrics provides a more reliable system of authentication than ID cards, keys, passwords, or other traditional systems. The word biometrics comes from two Greek words and means life measure. To provide a comprehensive survey, we not only categorize existing biometric techniques but also present detailed of representative methods within each category.
Biometric System involves the use of unique physical or behavioural characteristics to identify and verify individuals. Unlike traditional authentication methods such as passwords or cards, biometrics relies on intrinsic features like fingerprints, iris patterns, facial recognition, voiceprints, and more.
This technology provides a secure and convenient means of confirming identity, with applications spanning access control, financial transactions, healthcare, and law enforcement.
The process typically includes capturing, extracting, and comparing biometric data to make accurate identity determinations. Despite challenges like privacy concerns and cost, biometrics continues to advance, shaping the future of secure identification and authentication systems.
What is biometric?
Biometrics refers to the measurement and statistical analysis of people's unique physical and behavioral characteristics. These characteristics are used to verify and identify individuals.
Common biometric methods include fingerprint recognition, iris scanning, facial recognition, voice recognition, and hand geometry. Biometric systems capture and store these unique features in a secure manner, allowing for accurate and reliable identification. This technology is widely applied in access control, authentication, and identification processes across various industries.
- The being to be recognized is obligatory to be actually existing at the detail of credentials.
- Credentials based on biometric techniques avoids the prerequisite to recollect a PIN or carry a token. By substituting PIN’s, biometric methods can actually stop unauthorized admission to or fake use of A.T.M‘s, Keen cards, PC networks.
- PIN’s passwords might be elapsed, and token based approaches of identification like keywords and driver’s licenses might be phony, embezzled or lost. A biometric organisation is mainly a pattern obligation scheme which makes an individual identification by important the authenticity of a precise physiological or social characteristic prejudiced by the user.
Why we need biometric?
Biometrics provide secure and efficient ways to identify individuals based on unique physical or behavioural characteristics, enhancing authentication and access control. They offer a more reliable method compared to traditional passwords or ID cards, reducing the risk of unauthorized access and identity fraud. Biometric systems are widely used in areas like security, finance, healthcare, and government to ensure accurate and reliable identification.
In order to duck the problems of fail to recollection the keywords and ID codes, Biometrics based verification helps us in verifying your finger prints, iris design and voice for your uniqueness at ATM’s, Airports etc.., you can solve your families, withdrawing money on or after a bank with just a flash of an eye, a tap of your finger or by disinterested presenting your expression.
A person’s biometric traits fall into the following three categories:
- Biological
- Physiological
- Behavioural.
A physiological trait is a biological pattern found on or in the human body, such as a face, fingerprints, iris pattern, DNA, hand geometry, etc. Behavioural patterns, however, develop over time and become consistent characteristics, such as handwriting, voice, gait, and typing rhythm.
Difference between Verification Vs Identification
There are two diverse ways to tenacity a person’s identity: confirmation and proof of identity. Confirmation (Am I whom I claim I am?) involves confirming are rejecting a person’s demanded identity. In proof of identity, one has to found a person’s identity (Who am I?). Individually one of these strategies has its own difficulties and could maybe be resolved best by a certain biometric scheme.
- Verification (or authentication)
This process involves confirming whether a person is who they claim to be. The system compares a presented biometric data (e.g., fingerprint, face scan) against the stored template for that specific individual.
- Identification
This process is about determining the identity of a person by searching a database for a match. Unlike verification, where the user claims an identity, identification involves searching the entire database for a potential match.
Types of Biometric Technology
Fingerprint Recognition
Fingerprints are exclusive to each discrete and no two fingerprints are similar. Fingerprint recognition is greatest lengthily recognised biometric between the technology being used currently. Fingerprints comprise designs of edges and valleys as well as niceties points. Minutiae points are occupant edge characteristics that transpire at either the ridge bifurcation or a ridge finish.
There are three methods for perusing finger prints:
- Optical scanners
- Updraft scanners
- Capacitance (solid state) scanners
Advantages:
- High correctness rate.
- Can execute 1-to-many judgements.
- Inexpensive apparatus.
Disadvantages:
- Actual finger scan descriptions cannot be recreated commencing a stencil image.
- Users relate fingerprint credit to criminal action.
Face Recognition
Face recognition is one of the original biometrics’ technologies. The technology analyses facial characteristics and attempts to match it to database of digitized pictures. This technology is comparatively new and has only been commercially available since the 1990’s.
There are four main methods actuality used for facial recognition:
- Eigenfaces
- Feature Examination (also recognised as Native Feature Analysis (LFA))
- Neural network
- Automated Face Processing (AFP)
Advantages:
- High accuracy rate.
- Can be accomplished from a remoteness.
Disadvantages:
- Sensitive to lighting conditions
- Can perform limited 1-to-many comparisons
Iris Recognition
Iris scanning is performed by scanning the measures of the coloured circle that surrounds the pupil. Through audio-visual technology, a camera examination the iris design, which contains of corona, pits, crypts, filaments, striations, and radial troughs (page). Iris perusing is easy, precise, and suitable. One substantial downfall of Iris appreciation is the initial start-up prices as they are extremely high.
Advantages:
- High accuracy rate.
- Imitation is almost incredible.
Disadvantages:
- perceived to be disturbing and invasive.
- Can be completed from a short space.
Hand Geometry
Hand geometry is a biometric technology that involves the measurement and analysis of various physical features of an individual's hand for identification purposes. This includes the length, width, thickness, and curvature of fingers, as well as the size and shape of the palm. The unique characteristics of an individual's hand geometry are used to create a biometric template that can be compared for authentication.
Advantages:
- Non-intrusive
- Acceptance
- User-Friendly
Disadvantages:
- Accuracy
- Limited Uniqueness
Signature Recognition
Signature recognition in biometric technology involves analyzing the unique features and patterns within an individual's signature for identification or verification purposes. Here are some key points about signature recognition:
- Dynamic and Static Features
- Behavioural Biometric
- Authentication Process
Voice Recognition
Voice recognition in biometric technology, also known as speaker recognition, involves analysing the unique characteristics of an individual's voice for identification or verification. Here are key aspects of voice recognition:
- Biometric Modality
- Enrollment Process
- Text-Dependent and Text-Independent Systems
You must be logged in to post a comment.