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​​Biometrics is the science of the automated recognition of individuals based on measurable physiological and behavioral characteristics. With the rapid evolution of information technology, the traditional token-based authentication and security management system is no longer sophisticated enough to handle the challenges of the 21st century. As a result, Biometrics has emerged as the most reasonable, efficient, and ultimate solution to authenticate the legitimacy of an individual.
​The growing demands of an ever-increasing population has caused this authentication to become more challenging due to computational complexity, intra-class variations, and inter-class similarities. As well, demands for Biometric templates are on the rise in the field of information technology, leading to an increase in the vulnerability to the privacy and security of stored and dynamic information.


The most advanced scientific development of Biometrics is cardiac recognition, which would be able to uniquely identify an individual based on their clinically used cardiac signal (rhythms).  Another emerging trend in this area is cybersecurity and blockchain. Our research team is also working on gait biometrics to diagnose Parkinson's disease from the way an individual move.
Without any reservation, Biometrics is the best way for identity recognition (Digital Identity - ONE ID) and blockchain provides a decentralized platform to protect sensitive information against privacy, security, and unlinkability attacks, and to control access management system. However, every innovation has its vulnerabilities. Computational Intelligence and supercomputing have the potential to threaten the success of Blockchain. On the other side, Biometrics contain the unique and sensitive physiological and behavioural traits of an individual, it is unary, and cannot be revoked or reissued if compromised. The emergence of blockchain and Biometrics combinations could be a game-changer to protect security, integrity, and authenticity of data for the entire ecosystem and to achieve a complete human control by storing a user identity inside a secure distributed ledger system.

Our Biometrics team is mainly focused on cybersecurity, blockchain, biological security, multi-tier authentication, encryption, and medical Biometrics. The objective is to innovate a sophisticated state of the art authentication and encryption algorithms to address these challenges in order to protect confidentiality, integrity, authenticity, and nonrepudiation of data or identity.



Facial biometrics is a noninvasive 2D/3D long range authentication solution for moving subjects under surveillance. It uses facial geometry, size, and relative position of facial features.



The heart (cardiac muscle) is an internal biological organ. Clinical Electrocardiogram (ECG) and  Phonocardiogram (PCG) signals or heart rhythms are unique. Their physiological characteristics can be used  to authenticate the identity of an individual. This biometrics attribute can also be used to diagnose and analyze cardiac irregularities.



The fingerprint is the most reliable and secure biometric trait. It uses minutiae points, ridge pattern, orientation angle, delta points, and core point.


Cyber Security

Cyberspace is a global domain on the rise in the field of information technology, leading to increased vulnerability of the system to breaches in privacy and security. Attackers in this domain target different organizations with surgical precision, accessing our data with fewer attempts but frequently compromising privacy.   MultiBiometrics and multilayered forensic methodology can provide the perfect solution for preventing these cyber attacks from occurring.



The iris is the internal ocular structure that is  protected by the cornea and gives the eye its color. It provides the most efficient and robust authentication solutions with greater accuracy and speed.


Gait -Parkinson's

Behavioral biometrics is a methodology based on the way an individual walks or moves. Parkinson's disease is a neurodegenerative  disorder, but gait analysis can be used as an useful tool to measure gait patterns in order to make an early diagnosis of Parkinson's disease. It is noninvasive and can also be used in conjunction with facial biometrics to enhance the authentication accuracy of moving subjects.

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