Capterra characterizes biometric verification as the ID of an individual in light of their physical or social qualities with procedures like unique mark acknowledgment, retinal examining, facial acknowledgment, and voice recognizable proof. What are the most often utilized biometric frameworks, and what information is used?
Let’s start with fingerprint recognition, the most “ancient” and certainly the most widespread method. It works by identifying the fingerprints among those present in the archive. It is used by law enforcement but also as an access system in many companies. However, you must be careful not to have wet or dirty fingers because the sensor could suffer and not detect the fingerprint.
The geometry of the hand, a bit like the fingerprint, is a biometric recognition system that allows you to detect factors such as the length of the fingers, the width of the palm, or the lines on the hand so as to be able to identify them.
Iris scanning is currently the most reliable method for verifying a user’s identity, as the characteristics of the iris do not vary throughout a human’s life. In this case, the acquisition of the colored portion of the eye results in a unique code for each user.
Voice recognition is based on the reading of voice prints unique to each individual and, therefore, impossible to counterfeit. The main characteristics detected are tone, intensity, frequency, and nasal articulation.
Facial recognition is widely used as an unlocking tool for mobile devices but also to identify users at ATMs and bank branches. The human face, in fact, has around 80 characteristic points that, when scanned by the sensors, allow the user to be identified.
Facial thermography detects the amount of radiation, or heat, coming from a person through an infrared thermometer. Data collection does not invade the individual’s sphere since it can be carried out remotely and with different lighting.
The Disadvantages Of A Biometric Recognition System
While many recognize the advantages of biometric recognition software, it is also true that some need to pay attention to its critical issues, highlighting its possible limitations. In the event of a cyberattack or IT accident, it is indeed possible to replace passwords. Still, if such an episode occurs in a biometric context, users cannot modify fingerprints, retinas, or facial features.
These traits, in fact, are unique and unchangeable, and this can lead to significant damage to companies and organizations. The need to guarantee the highest level of IT security, therefore, is even more pressing when biometric technologies are used.
Biometric recognition systems are not free from the possibility of error. Usually, biometric devices make two types of errors:
- False Acceptance Rate (FAR)
- False Rejection Rate (FRR)
The FAR error occurs when the biometric recognition device accepts an unauthorized person. However, when an authorized person is refused, it is called FRR. The errors can depend on physical environmental conditions or simply on changes in somatic features due to age. A high error rate can create chaos for the entire security system. Some biometric devices, for example, can be slow at detecting traits. This leads, in the case of a large number of people being identified, to delays and the formation of waiting queues.
To deal with the whole cycle, biometrics assumes profoundly innovative frameworks. The administration of a biometric acknowledgment framework, in this way, requires master and profoundly qualified professionals. Moreover, biometric security can conflict with the hesitance of clients, who might think that it is obtrusive.
In any case, the chance of picking between various biometric frameworks, for instance, finger impression or facial identification, makes representatives more cooperative. Besides, to diminish the dangers of digital savagery, there is facial acknowledgment programming that tries not to keep all biometric data in a solitary space, retaining just a piece of every representative’s information.
The use of biometric data allows you to identify a person through their body parts. One of the major concerns is identity protection. In fact, not everyone agrees to release this data, for example, to the company they work for; it is, therefore, necessary when you want to use these systems to guarantee maximum protection for those directly involved to avoid possible errors or prejudices.