The biometric identification system combines physical (fingerprint, face) and behavioral (gait or handwriting) measures to provide high levels of security. By biometric identification system, people use fingerprint or facial recognition to open their smartphones. Biometric verification is used worldwide, often in airport and hospital security systems.
Aim of Biometric Identification
Biometric identification is based on the fact that the system is linked to the unique biological traits of a person. These features are unique and associated with one person only. So the features can’t be stolen or forged. Biometric data consists of various categories, physical (iris/retinas, face, fingerprint recognition) and behavioral (voice, signature, gait, etc.).
During registration, the person’s data is captured with the help of a camera or sensor. Then, the data is changed into the digital template and stored in the system. Meanwhile, during the verification process, the real-time data is collected and matched with the referenced database to verify the identity of a user.
Advantages of Biometric Identification
There are numerous advantages to biometric identification over other identity verification methods. Some are mentioned below:
Enhanced Security
Biometric features are unique and associated with one person. So they can’t be stolen and are difficult to forge. Unlike passwords and PINs, which can be easily stolen, forgotten, or shared, Biometric identification provides robust solutions to enhance security.
Convenience to User
Biometric identification removes the need to remember passwords and provides a seamless customer experience. Biometric identification offers convenience to users by eliminating the steps and providing a smooth flow.
Scalable and Efficient
Biometric identification systems deal with many users without compromising on security or efficiency.
Versatility
Biometric user authentication is integrated into numerous security systems, such as smartphones, airport security systems, access control, and hospitals. Due to its versatility, it can be integrated into existing infrastructure without further modifications.
Challenges in Biometric Identification
As each system has its pros and cons and challenges they face, biometric identification is not any different, some challenges of biometric identification are mentioned below:
Data Security
Biometric identification must be stored with high security to protect the user’s privacy. Strong encryption and robust security methods are crucial to preventing unauthorized access.
False Matches and Unauthorized Access
Sometimes the system may be hacked with false information like a hacker gets a photo of the owner from any social platform and can use it in facial recognition to get access to an account. Deep research and development are necessary to secure and protect the system from unauthorized access.
System Integration and Interoperability
Due to incompatibility, integrating a biometric identity system into an existing system can occasionally be difficult and problematic. Integration, as well as interoperability of systems and technologies, must be facilitated.
Future Advancement in Biometric Identification
Biometric identification is already advanced, but there will be further advancements in the future in areas such as accuracy, efficiency, and security. Some of these advancements are listed below:
Multi-Modal Biometric Identification
It is an advanced form of biometric verification that combines multiple types of biometrics, such as iris, facial, and fingerprint. The multi-modal identification provides high security and a smooth process.
Advancement In Liveness Detection
The liveness detection ensures that the biometric sample comes from a real person, not a spoof. In this manner, liveness detection prevents unauthorized access and secures the system.
Use of the Biometric System in Payment Processing
Now, the biometric system is used to send or receive payments and access an account, eliminating the need for a card or other payment methods.
Advancements in Artificial Intelligence and Machine Learning
The advancements in machine learning and artificial intelligence improve the accuracy and speed of the biometric system, making it error-proof. So it will be difficult for scammers to bypass the system.
Biometrics Increasingly Privacy-Conscious
Because the biometric identification system is sensitive, all data collection and storage will be done with extreme caution to preserve the privacy of the data. Although a biometric system can occasionally be hacked, modern technologies make it impossible to do so. Therefore, it is evident from these developments that the future of biometric security systems is promising and secure.
Conclusion
Biometric identification verifies users with the help of unique features that are associated with each person. The features may be physical (eyes, face, iris, fingerprint) or behavioral (voice, signatures, etc.). However, the system will detect if there is any change in behavior. These unique features can’t be copied or stolen, making the system safe and seamless.
