Digital era brought up features loaded smartphones that offer security in the form of face unlocks and fingerprints. Fingerprint scanning came at first as a technology features intend to be a secure way of ensuring authorized access to phones. Fingerprint scanning, unlike passwords, was supposed to be tamper-free and hard to spoof. But, afterward, it came out wrong.

However, with the advent of technology, fraudsters came up with tricks to bypass fingerprint security. Using the print of the finger, any device could be unlocked. The companies, therefore, switched to some other efficient security ways, among which face detection is the one.

The biometric authentication system is praised at the organizational and industrial levels. From digital payments to e-commerce and social media accounts to online brokerage houses, biometrics are highly adaptable.

With various modalities and forms such as fingerprint scanning, facial recognition, iris/retina scanning, walking patterns, keystrokes as well as palm geometry identification. Both these physical and behavioral unique biological traits are used in various industries as per their use-cases.

Face Recognition Technology

Facial recognition technology itself holds various types. Initially, Facial Recognition Online came up with a 2-d model feature in which the user captures the face and detection were done through the optical lens of a mobile camera. But the loophole was that fraudster can easily unlock the phone through the image.

However, the modern globalized era has introduced a facial detection system that includes spoofing detection in the image. Using Artificial Intelligence and machine learning techniques, live facial detection is done that during the detection process run authentication test as well as spoofing detection. The minor facial movements of users are detected in the live captured image. This method is called liveness detection.

Additionally, along with facial recognition, iris scanning is also performed in high-end smartphones. This means that smartphones not only detect facial features but also iris scanning is performed simultaneously providing high-level security over user privacy.

Fingerprint Scanning

Fingerprint scanning came up with multiple fascinating features. Before it was performed through the button one smartphone, then back screen fingerprint sensor and now it came up with an in-screen fingerprint sensor.

Fingerprint detection also creates a 3-d model of finger traits. This helps mobile software to differentiate between different fingerprints. Biometrics information is stored in the database. It is stored in the form of a mathematical formula. When a user does fingerprint scanning, real-time captured information is checked against the one stored in the database.

Which one is better?

After fraudsters came up with tricks to deceive the Face Recognition Online, technologists came up with stringent techniques to identify the spoofing elements from the picture. With liveness detection and movement captured features, facial recognition is getting stronger.

3d mask is created for image and its accuracy is checked. Liveness detection checks the physical presence of the user. This helps software smartly identify an identity.

Fingerprint sensors are still prone to be spoofed. Therefore, there is a dire need for taking in place Biometric solutions that could not be spoofed in any way. Although a combination of both fingerprint and facial recognition can serve the purpose of security better.

Obsoleting the traditional security methods, even online businesses are moving towards the adoption of biometric authentication to discard the unauthorized access and keep the legitimacy of the platform intact with improved user experience.

This helps businesses protect online accounts from data breaches and identity theft. It also makes digital payments more secure than before. Hence eliminating the online payment and financial scams.

Gabriel Luke

Information is my field...Writing is my passion...Coupling the two is my mission. I have excellent writing skills, creativity, computer competencies, the ability to follow client instructions, and networking. Most eligible candidates have a background in English, communication, and journalism

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