Artificial intelligence is likely to take us towards an unpredictable future with the rapidly evolving security demands from customers, keeping in view the increasing rate of fraudulent activities rising in parallel to technological advancements. From the past couple of years, massive incorporation of biometric identification systems and fingerprint recognition systems in public sectors as well as in private sectors.
According to a report, 4807 identity thefts were reported in July 2020. Also, during COVID-19 pandemic, financial aid related frauds were reported in the second half of 2020. Considering that analysis, business sectors decide to enhance their security features by the internalization of AI-based biometric user authentication solutions to combat chargebacks and fraudulent activities. Biometric solutions are encouraged in numerous sectors of all shapes and sizes regardless of their industry vertical and type.
Average selling price of global mobile fingerprint sensor volumes descended to $2 per unit in 2020 which was as high as $5.5 in 2014. Cost-effective biometric solutions and availability fingerprint sensors in government-issued ID cards have made biometrics a new normal by increasing its acceptance and awareness.
Biometric recognition systems
Early generations of biometric devices were not accurate and efficient enough to dodge this bulky traffic of hackers. There exist various innovative biometric identification systems for a wide range of organizations around the globe for the biometric authentication of end-users and to develop a transparent relationship between businesses and their customers by deterring identity theft.
Face verification involves the analysis of facial features and patterns for the biometric verification and authentication of an individual’s identity. Most of the facial recognition systems either use local feature analysis or eigenfaces. The process of identity verification can be carried out with the AI-powered facial recognition services within a few seconds and with accuracy up to 98.67%.
There exists a wide range of products that are integrated with businesses nowadays to deter fraud, that analyzes facial data using 3D depth detection, liveness detection, identity deep fakes, high authentication mapping techniques powered by artificial intelligence, and identity proofing. Face verification technologies are efficient enough that face prints of customers are stored in a safe and secured server for authentic pieces of evidence without error.
Facial recognition technologies enhance biometric security systems and leave no room for 3D mask attacks, cyber attacks using distorted photo images, fraud using printed or screenshot images, video replay attacks, and eye-cut photo attacks.
Identity verification is mandatory for financial infrastructures to combat fraudulent activities and for the determination of unknown identity. Voice recognition technology works with the comparison ratio of 1:N, which means that the voice of the customer is matched against numerous voice templates. Speaker authentication systems can also be implemented secretly with the customer’s knowledge to identify various voices in a discussion, check if the user is already enrolled in the system, alert automated systems of speaker changes, etc.
For example, the police sector compares the voice of suspected crimes against the repository of previously documented criminals to detect the closest match. Moreover, in forensic labs, it is mandatory to first perform the voice recognition process and after that, find the conclusive match in the database to detect the fraudsters.
This technology involves the analysis of fingertip’s valleys and ridges of the human finger for the identification of individuals. 3D geometry of the finger is determined for user authentication and verification based on the comparison of two or more fingerprints. Automated methods of fingerprint recognition are incorporated in a wide-range of organizations to provide them enhanced biometric solutions.
The main reason for the incorporation of fingerprint recognition systems is it’s established use, acceptance, and ease of acquisition. Fingerprint recognition is one of the cheap biometric solutions to dodge chargebacks which is the reason for its wide-range of applications. The logistic access control of fingerprint recognition systems, i.e. fingerprint recognition systems are easily accessible through personal computers. It is one of the main purposes for its internalization. Organizations are incorporating fingerprint recognition solutions for attendance and time management. Also technology is incorporated as a biometric alternative for loyalty card systems.
Type of sensors used in fingerprint scanners
The extensive use of fingerprint sensors has evolved rapidly over the past couple of decades. Following are some common types of fingerprint sensors, incorporated in numerous financial infrastructures for the identity verification of customers with a high rate of accuracy and efficiency.
Optical sensors capture the picture of the fingerprint to verify the identity of the customer. It is one of the best biometric services to tackle chargebacks, a common type of biometric verification technology available at cheap prices. As everything has pros and cons, the only disadvantage of optical sensors is the quality of fingerprint scans is affected when fingers are dirty, so that biometric systems incorporating these types of sensors can easily be tricked to carry out fraudulent activities as compared to other types of sensors.
Instead of visible lights, utilization of a pixel array of capacitors is incorporated in capacitive scanners to provide efficient biometric solutions. Capacitive scanners are hard to hammer out because these types of scanners can’t be fooled enough using fake or manipulated fingerprint images. Also, capacitive scanners are not as cost-effective as compared to other types of scanners for biometric security.
Thermal line sensors
These types of sensors analyze the temperature of fingertip valleys and ridges to read the fingerprints to enhance the repository of biometric data. The customer is required to move his fingertip on an array of linearly arranged thermal sensors. The thermal sensors are all so small that they can’t be seen with the help of the naked eye. Fingerprint movements are required to measure fingerprint patterns.
These types of sensors involve the incorporation of such technology that can scan fingerprints with the help of high-frequency sound waves. Fingerprint pattern image is produced when high-frequency ultrasound waves reflect from the fingertip surface of the user. Ultrasound sensors are efficient enough that the performance of sensors is not affected by the dirtiness of the fingertip surface. This way biometric identification is enhanced with a high rate of accuracy and efficiency to detect fraud.
5 Popular fingerprint device
A versatile fingerprint scanner with Auto-On and Smart Capture, SecuGen Hamster Plus, featuring an ergonomic and comfortable design. SecuGen hamster IV is also a very innovative and versatile fingerprint reader incorporated in various financial infrastructures. It is the most advanced and rugged sensor with the integration of SEIR biometric fingerprint technology.
Columbo comes with a wide-range of SDK features to enable effective integration into various software and applications. Columbo is available in PC’s and embedded module functions.
Watson Mini is an efficient, accurate, and versatile fingerprint scanner that captures the unique fingerprint of customers in standalone applications. The versatility of this sensor allows it to work with both tablets and smartphones featuring light emission sensor technology.
Fingkey Hamster I DX USB fingerprint reader for user authentication with high precise rate frictionless through distinct algorithms. Hamster Pro includes the features of advanced optical sensors engineered with patent technology.
eNBioScan-D Plus is a dual fingerprint scanner which scans a customer’s fingerprint with a high rate of accuracy and efficiency for the purpose of user identification and verification. eNBioScan-F is an FBI PIV certified fingerprint scanner for the user biometric verification and recognition of customers with a large input window for fingerprints to deter fraudulent activities.
Introduction to new innovative hardwires and technological enhancements also backslash prices of previous occurrences. New trends of cloud-based biometric security solutions have set the affordability rate to the next level. Are efficient enough to provide a variety of applications to numerous sectors to eliminate the possibility of password hacks or identity theft. Implementation of multi-factor biometric authentication solutions is one of the essential factors provided for enhanced security in some well-known sectors such as data centers, military sectors, nuclear reactors, R&D facilities etc. Hence, biometric recognition solutions have successfully reached the pocket of common people.
Biometric solutions with high rates of accuracy, efficiency and security have armed numerous financial infrastructures to fight a battle against identity theft. Thankfully biometric solutions are getting inexpensive by its evolving rate of adoption and increasing widespread implementation. Factors such as increasing production rate of electronic components and economy of scale have helped all sorts of organizations with the adoption of biometric solutions. Fingerprint sensors have made their way in our everyday life, such as server rooms, office doors, banks, schools, POS, etc.
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