In this tutorial, we will learn about what are Biometrics, classification of biometrics as physical and behavioral, the use of Biometrics in authentication and verification, what are the different types of Biometric Sensors and its working.
Outline
ToggleIntroduction
The Biometrics Technology, once primarily used by the law enforcement, is increasingly being used by government as well as private entities in order to verify a person’s identity. Biometrics is a method of recognizing or verifying a person’s identity based on physical or behavioral characteristics.
Every human being possesses certain unique features in terms of both physiological and behavioral characteristics that are different from everybody else. The first thing that comes to our mind when speaking of unique features is the fingerprint. But there are also several other features like DNA, retinal structure, vein pattern, etc.
All these are physiological characteristics. But there are other characteristics that are more of behavioral in nature like the way we speak, the way we type on a keyboard, the way we put our signature etc.
Both these sets of characteristics are used to identify an individual and the science behind this is known as Biometrics.
Why Biometrics are used?
Passwords, PINs, Smart Keys, Smart Cards, etc. are generally used to authenticate people and allow them access to both physical as well as digital domains. But the problems with this type of authentication is that passwords and PINs can be easily forgotten (or hard to remember) or can be stolen; smart keys and tokens can be easily misplaced, duplicated or forgotten; smart cards with magnetic strips can be easily corrupted.
But a person’s biometrics or biological traits cannot be stolen, forgotten or misplaced and hence they provide a much better, secure and reliable way to authenticate an individual when compared to the traditional methods.
Some of the commonly used Biometrics are fingerprints, iris, face, geometry of hand, speech, gait, signature and keystroke.
Biometric Sensors
A Biometric Sensor is a device (or a transducer, to be specific) that converts the biometric trait of an individual into electrical signals. Biometric Sensors are usually semiconductor devices that processes images from an individual’s physical characteristics using complex algorithms.
Many physical characteristics of a person like face, iris, fingerprints, etc. are scanned by a Biometric Sensor and are converted to a digital image using an Analog – to – Digital Converter.
This digital information of the person is stored in a memory and is used to verify or authenticate his/her identity.
We have seen about sensors and Different Types of Sensors in previous tutorials. Biometric Sensors are becoming increasingly important and useful as they are more effective, accurate and provide more security.
Most modern smart phones (at the time of writing this tutorial) include at least a Fingerprint Sensor to authenticate the user while some high-end phones provide additional Biometric Sensors like Iris Scanners and Facial Recognition Technology.
Overview of a Biometric System
Before taking a look as the different types of Biometric Sensor, let us briefly understand how a simple Biometric System operates.
There are two types of Biometric operations that can be performed using the images captured by Biometric Sensors. They are:
- Identification
- Verification
In Identification mode, a Biometric System identifies a person from the pool of enrolled personnel by searching the database and based on match for biometrics. This mode answers the “Who am I?” question about a person.
I verification mode, the Biometric System verifies the person’s identity based on the previously enrolled biometrics. In this mode, the “Am I whom I claim to be?” question about an individual is answered.
Irrespective of the mode, the operation of a typical Biometric System can be divided into three components. They are:
- Enrollment
- Matching (or Testing)
- Decision Making
The first stage is called Enrollment. In this stage, a Biometric Sensor is used to capture the image of a Biometric trait like face, iris or fingerprint. The captured image is processed for feature extraction using complex mathematical algorithms and is enrolled in the system.
Second stage of the system is testing the enrolled image with already existing ones in the database and determine if a match occurs or not.
The final stage is the decision-making stage, where a conclusion is made whether the individual is genuine or not.
Types of Biometric Sensors
As already mentioned earlier, there are many types of Biometrics and corresponding Biometric Sensors used today like Fingerprint, Face. Iris, Speech, Hand Geometry, signature verification etc. There are many more type of Biometric Technologies that are bound to be used in the future like DNA, Hologram, Earlobe, Gait etc.
Let us take a look at some of the commonly used Biometrics and Biometric Sensors.
- Fingerprint Sensors
- Face Recognition
- Iris Recognition
- Speech Recognition
- Hand Geometry
- Signature Verification
Fingerprint Sensors
Perhaps the most commonly used and most popular form of Biometrics is the fingerprints and fingerprint sensors. Fingerprints are one of the oldest biometrics to be used and they are easy to capture and verify.
Fingerprints based identification and verification requires several features of the fingerprint patterns like the ridges and valleys of a fingerprint, for example.
An important fingerprint pattern is the characteristics of ridges called Minutiae. Based on the fingerprint ridges, there are three fingerprint patterns called:
- Loop
- Arch
- Whorl
The device that is used to capture digital image of a fingerprint pattern is known as Fingerprint Sensor. The captured image, which is known as live image, is processed to create a digital template with extracted features. This template is stored in the database for matching.
Based on the technology used to capture the fingerprint images, fingerprint sensors are further classified into different kinds.
- Capacitive Sensors
- Optical Sensors
- Ultrasonic Sensors
- RF Sensors
- Thermal Sensors
- Pressure Sensors
Face Recognition
Facial Recognition or Face Recognition is one of the successful applications of image processing technology. Simple face recognition is often used in cameras to track the face of a person.
But the main use of face recognition is the identification of a person by facial image using a Facial Biometric Sensor. After capturing a facial image, using either normal camera for visible light capture or IR camera for heat patterns, the image is processed and extracted for facial biometrics.
Some high-end smart phones use a combination of an infrared camera, infrared light and light projector to capture image of the face.
Iris Recognition
The iris of the eye, which is the colored region around the pupil, is also a unique feature of a person. To be specific, the iris pattern of the eye is unique from person to person. Hence, iris-based identification and verification is one of the commonly used biometrics.
An Iris Scanner is the device that is used for capturing iris patterns in a video-based image acquisition process.
Speech Recognition
Since the analog days, the concept of speech recognition is being used for identification. The acoustics of the speech of a person are unique to an individual and this feature is sometimes used to identify a person.
Speech Recognition uses both the physical and behavioral characteristics of speech like shape and size of throat and mouth (physical) and voice pitch and speaking style (behavioral).
One of the main problems of speech recognition technology is the presence of ambient noise either during enrollment or during identification.
Hand Geometry
The Hand Recognition is one of the well-established methods for identifying and verifying a person. A person’s physical characteristics like length, thickness and surface area of either entire hand or individual fingers is measured.
Signature Verification
This method comes under the behavioral characteristics of an individual. A dynamic analysis of a person’s signature is used to verify a person. Several factors like speed, pressure and angle are used while analysing the signature.
Also Read: How Do Motion Sensors Work?
Advantages of Biometrics and Biometric Sensors
Establishing the identity of an individual is very critical in numerous applications. Questions like “Is the person really who they claim to be?” or “Is the person authorized to accesses this facility?” often arise at various scenarios.
Hence, a reliable and secure way of authenticating a user’s identity is of utmost importance. The use of Biometrics, Biometric Sensors and Biometric Systems for identifying an individual has some unique advantages.
Passwords, PINs, Cards, Keys, Tokens, etc. all have few drawbacks like they can be forgotten, lost, shared (intentionally or unintentionally), damaged etc.
Moreover, todays electronic world requires a person to remember passwords or PINs for banks, ATMs, e-mail accounts, phone, wallets (digital), websites etc.
Biometrics provide a single, unique solution to all the above-mentioned problems.
NOTE: There is no such thing as a single perfect biometric that is suitable for all your needs. Each system has its own advantages and disadvantages.
Applications
- Biometrics Sensors are used in a variety of commercial applications like computer login, electronic data security, internet access, credit cards, ATMs, mobile phones, etc.
- Several Government applications like ID Cards, driver’s license, passport etc.
- Law enforcement and forensic applications like identification of culprits, corpses, parenthood determination etc.