In the digital era, security or data protection is one of the main concerns of any business. Every organization has recognized that data is a significant resource. Hence, companies deploy advanced security tools such as biometric identification systems to safeguard their business data.

One of the fundamental pieces of security is the approval and validation of individuals – which is why so many organizations are adopting biometric identification devices or systems. Biometric identification systems are growing as a critical element to multifactor authentication. It is useful for an immense variety of purposes – such as attendance, authentication tracking, and even the metering time limits.

Biometric identifier systems are the unique and measurable characteristics that are using to label and define individuals. This technology is essentially utilizing for identification and access control or for identifying individuals who are under surveillance.

In most examples, the biometric identifiers are often classifying somebody based on their behavioral and physiological features. Some of them are associated with the body’s shape, such as face recognition, hand geometry, DNA, etc.

Biometrics systems have given a plentiful powerful solution for business partners. Who now can operate various complexities—for instance, ID Swapping, undocumented access, and regular badge checking. Simply put, biometric identification systems are particular security systems that are integrating with human characteristics.

In conclusion, these systems provide improved access control through operations with various advantages when compared to conventional security systems. Let us explore some of the key benefits associated with this expanding element of customer security.

Table of Content

  • What is the objective of biometric identification systems?
  • Why do we need a biometric identification system?
  • How does an AI-based solution work in a biometric identification system?
  • Complete process
    • Data extraction
    • Data annotation
    • Data processing
    • Model development
    • Model inference & deployment

What is the objective of biometric identification systems?

The biometric identification system’s primary goal is to identify and determine the identity of a particular person.

If you want in-depth, the biometric system aims to capture the biometric data of a person and compare it to the existing biometric information. The biometric data may be a voice note, fingerprint, or face photo of the particular person.

Why do we need biometric identification systems?

Still now we only discussed the overview and objective of the biometric identification systems. In this section, we will focus on what are the most important points and advantages of it. Let’s start discussing it.

In a world where digital transformation techniques influence daily habits and consumption, biometric identification systems answer excellently to customer expectations on data security and protection. For example, they can access and make a transaction with a simple gesture, use an app, or take advantage of digital plus biometric service even more quickly and safely.

People or companies are already switching to biometric identification techniques such as fingerprint recognition to validate the authenticity of the user. From maintaining the employees’ attendance to combating online and offline fraudulence challenges, biometric recognition systems have outsmarted every other security measure.

Few reasons why biometric identification more effective than other techniques :

  1. Unique identification to every user
    1. Biometric information is unique to every user. For example, it is impossible to regenerate or replicate a particular fingerprint. User’s biometric information never changes with time unless there is an unusual occurrence. So it will definitely increase security and reduce its issues.
  2. Reduce Mistype or forgot password issue
    1. Customers often mistyped or forgot their PINs or felt skeptical about using them, especially when making payments. For instance, fingerprint identification systems will eliminate such issues as the user must only use their fingerprint as their identity.
  3. High security :
    1. With biometric authentication, you can eliminate payment fraud activities such as card skimming, chip switching, shoulder surfing, etc.
  4. Reduce the speed of validation
    1. Getting PIN (Personal Identification Number) number to our mobile number or email id takes a little bit of time. In contrast, fingerprint recognition is a seamless,near-instant process. Biometric identification systems will save a lot of time for both the customers and businesses involved.
  5. Enhance customer experience
    1. With high-quality fingerprint image and biometric processing, the performance of any application is significantly improving. A biometric identification system allows the people to place their finger at any angle, so the system can always recognize the user no matter how they hold the sensor.

What are the advantages businesses get by using biometric identification systems?

Accurate identification and accountability

By using a biometric identification system, the app’s logins allow the customer to easily connect to a particular database or business site. Accordingly, the biometric identification systems are utilizing to create a clear and meaningful audit trail for client transactions and as an access control system as well.

Easy, time-saving, and Safe for Use

One important benefit of these kinds of systems is that they make excellent solutions for identification. Biometric systems are also simple to use. The biometric technology provides customers with well-defined results and minimal noise. An uncomplicated scan or user data is needed to activate the business system functionalities.

In addition, a user can authenticate or deny access within thin seconds or reasonably up till the system manager can allow them access. For this reason, biometric identification systems are excellent time savers for business owners who want to cut down on work time and enhance productivity.

User-Friendly Systems

Once the biometric identification systems are installed for any business, businesses can assume the system’s functionality as early as it starts working. In addition, businesses may need some fundamental training on how to navigate the system. This training process may take a short span of time to master all the hints and requirements of getting the full operating system. Furthermore, another well-known advantage of biometric identification systems is that they guarantee long-term security for any company.

The biometric identification systems are not only extremely versatile, but they are also scalable. In fact, businesses can utilize several versions of these biometric systems to improve security with regard to their business requirements. For example, at the below level of the marketing system, you can use rather discrete features. When you are operating for high tech security levels, then companies might opt for sophisticated client features.

Valuable investment :

The other notable benefit of investing in biometric identification systems is that organizations can easily moderate the conclusions of any fraudulent actions. In addition, track the average hours of work per worker/customer and decrease control time and costs. While the biometric system security will enhance, you still maintain the capability to simultaneously achieve new business system plans and procedures. And all you have to do is to provide a one-time installation cost and reserve for some occasional maintenance.

People experience many positive benefits in addition to the above advantages and reasons. In the following years, we will frequently see the value biometric identification system to validate user authentication. That will give a chance to integrate machine learning, data analysis, and other information from many sensors to make available to the users. This means it will give more reliable and “simple” technological solutions, offering a completely distinct customer experience. Companies will approach many advantages in terms of cost, reliability, scalability, and speed.

How AI improves authentication security of users/businesses confidential information?

Biometric information such as the face, fingerprint, and iris scans are utilizing for authenticating employees/customers at the workplace. This information is also useful for identifying smartphone owners. We can implement these biometric identification systems in organizations to authorize access to confidential data. In addition, biometric systems can also use along with traditional passwords or PIN (Personal Identification Number)numbers for multi-factor authentication. Additionally, the adoption of AI (Artificial Intelligence) technology will help while developing protocols for data-driven security. Hence, clubbing biometric information with AI technology together will lead to the production of powerful security models.

A biometric identification system is an information system that allows or rejects the person based on their identity to access any secure data. Person identification information is either their physiological or behavioral characteristics. The biometric identification systems are based on hardware systems for data acquisition that integrate the software components. It allows to perform data analysis and reconstruct a person’s identity and recognize it through mathematical algorithms.

This system can be more secure compared to common methods such as passwords and PINs that can be quickly hacked by someone. AI-based biometric identification systems utilize sensors that convert biometric features such as the face, iris, fingerprints, and voice of a particular person to an electrical signal. What kind of sensor companies have to use will depend on business application requirements. For instance, a high-definition camera will require facial recognition.

Today, various industries and domains, including banking, retail, and mobile commerce, demonstrate a real desire for biometrics benefits.

Most importantly, awareness and acceptance have been progressed in the past few years, as millions of smartphone users are opening/unlocking their phones with a fingerprint or a face.

Let’s see, few typical applications of biometric identification systems in different domains or sectors :

  1. Law enforcement and public security (Identification and recognition of criminal/suspect)
  2. Border, travel, and migration control(Check identity of traveler/migrant/passenger based on their biometric information)
  3. Physical and logical access ( identify owner/user/employee/ contractor/partner access at company or business)
  4. Military (enemy/ally identification)
  5. Civil identification (identification of biometric information of citizen/resident/voter )
  6. Healthcare and subsidies (patient/beneficiary/healthcare professional recognition)
  7. Commercial applications (consumer/customer identification)

We can broadly classify all biometric identification systems into two categories. These categories are based on what kind of information was taken when building this system.

  1. Physiological biometric identification systems
  2. Behavioral biometric identification systems

Physiological biometric identification systems :

These biometric systems are either biological or morphological biometric identification systems.

  • The morphological biometric identifiers mostly consist of fingerprints, the hand’s shape, vein pattern, the eye (iris and retina), and the face’s shape.
  • The biological biometric system analyses DNA, blood, saliva, or urine. These systems are mainly using by medical organizations and police forensics.

Behavioral biometric identification systems :

List of most common behavioral characteristics to build effective behavioral biometric identification systems.

  • voice-based biometric identification systems,
  • signature dynamics (speed of movement of pen, accelerations, pressure exerted, inclination),
  • keystroke dynamics,
  • gestures, etc.

Model development

Until now, we discussed only the working process of biometric systems and where we can use them, and their types. Let’s see a few advantages of biometric identification systems.

Whatever the process, what all these biometric procedures have in common is that they all collect human characteristics: But all these human characteristics are unique, permanent (don’t change over time), recordable, measurable, and forgery-proof

Any enterprise can very quickly adopt these biometric identification systems when their customer(s) reaches out to their contact center for any service. Or, businesses can request specific permission from customers and ask them to enroll proactively. Over a short period, regular users will get registered. Those enrolled users’ biometric information will be stored in the database. AI-based biometric identification systems utilize this information and make a comparison to check user identity. These kinds of systems quickly enhance the customer experience.

Biometric identification systems are developing to perform authentication more comfortably and secure. The development of biometric system trends is currently concentrating on physiological measurements such as the face, iris, and fingerprints and behavioral measurements such as voice.

We already discussed different biometric identification systems based on user biometric information on how AI improves the biometric identification systems section. Let’s see in detail about a few of them in this section.

Facial recognition Biometric Identification system :

It is one of the Physiological biometric identification systems.  This model recognizes whether a particular user authenticates or not from the live stream by extracting various facial features. Extracted facial features may be the distance between the eyes, the width of the nostrils, length of the nose, shape of the cheekbones, forehead, etc. All these extracts are converted to vectors and passed through the computer vision algorithms or libraries like OpenCV, fast R-CNN, etc., to train a facial biometric identification system/model.

Iris -Based biometric identification system :

This is also one of the Physiological biometric identification systems. We have to scan the iris of different images in the dataset and extract unique features in the colored circle and create a new dataset. These unique iris features will be used for building or training a model. This model will scan the user’s iris and extract features to verify and authenticate that particular user.

User’s unique iris patterns allow iris biometric scanners to select up to 260 important feature points, making this system more accurate. We can build effective models using computer vision-based deep learning algorithms like residual CNN, faster R-CNN, etc. This iris-based biometric identification system is highly accurate as compared to other biometric systems.

Fingerprint-based Biometric identification system :

This model also discussed models such as one of the most popular physiological biometric identification systems. We can see this kind of system in so many places or areas like unlocking your mobile or laptops, attending our companies or schools, submitting any information to a government office, etc.

Like the above biometric identification models, artificial intelligence algorithms extract relevant information or features from thumbs. And then build a fingerprint model using computer vision deep learning algorithms like Region-Based CNN, Region-based Fully connected CNN, Spatial Pyramid Pooling, etc. We can also use machine learning algorithms such as SVM, genetic algorithms, etc., to build this model.

Voice-based biometric identification system :

Till now, we only discuss physiological biometric algorithms. Voice recognition biometric identification system is another essential system under the category of Behavioral biometric identification systems.

Voice recognition systems are training to recognize relationships between the unique voice patterns of individuals. The voice representation is then examined and matched with the previously stored voice-based biometric identification model. The Voice recognition system isn’t accurate. An individual’s speech can vary depending on their health, age, mood, and other factors.

Nowadays, many organizations use these biometric identification systems; recently, many companies are showing interest in adopting this technology to provide more security to their confidential information.

Few organizations also integrate two or more of these biometric identifiers for more security and more accurate results. Those Biometric identification systems are called multimodal Biometric verification systems.

Deployment of model :

Biometric identification solutions have been got attention in modern years. Few significant factors behind this trending technology are :

  • Many nations around the globe have already started making attempts to build biometric identification systems for their citizens.
  • Many organizations leverage biometric identification systems for their business applications like room security, employee attendance, etc.
  • Few manufacturer industries using a biometric ability on mobile and computing devices. For example, fingerprint authentication in mobile, laptops, etc.

Let’s see how companies use the above-discussed biometric identification systems.

Face biometric recognition systems :

A facial recognition biometric identification system identifies and verifies a client/employee by extracting and comparing selected facial characteristics from a digital image or a video frame.

Iris -Based biometric identification system :

AI-based iris biometric systems integrate with a monochrome camera. That will obtain a detailed image of the human eye. An AIl will extract essential features from the particular eye. And then, All extracted features are passed through an integrated model that will verify the pattern and declare that a particular person is authenticated or not.

Fingerprint-based Biometric identification system :

If companies want to adopt this technology, they have to use one scanning technology or device. We will integrate trained fingerprint biometric models into scanning devices. AI algorithm extracts unique finger features from the scanning image. Those unique features pass through the trained fingerprint biometric model.

Voice-based biometric identification system :

Voice biometric solutions digitize words by reducing them to segments comprising encoded frequencies or formants and producing a “voiceprint” model unique to a person. This voiceprint is using for the identification and authentication of the speaker.

Conclusion :

This article explained an overview of the biometric system because biometric systems are not a single technology. Every user has much biometric information to differentiate from other users. From this current article, we hope you learn about different kinds of biometric systems. And also, how critical biometric systems are in every organization to provide more security for their more confidential data. One more thing here is we only gave the basics of every biometric system. We will provide more focused solutions in the upcoming articles and data-related content like extraction, preprocessing, annotation process for every biometric identification system.

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