Fingerprint Recognition
Fingerprint is one of the most established and trusted biometric modalities. It works by analysing the unique ridges and patterns of an individual’s fingerprint to confirm identity. For decades, it has been a trusted method for secure and reliable verification across industries.
Fingerprint sensors capture an image of the finger's surface, analysing unique features such as ridge flow, bifurcations, and other distinctive patterns. Advanced algorithm then compares this data against stored templates to determine a match, providing fast and highly accurate verification
Retina Scanning
The iris, situated at the front of the eye, is a pigmented, circular muscle that governs the diameter of the pupil, controlling the quantity of light entering the eye to ensure optimal vision. Its function is essential for regulating the pupil’s size, thereby maintaining the appropriate amount of light necessary for clear vision.
Iris recognition technology is a biometric authentication method that identifies individuals based on the unique patterns within their irises, the coloured portion of the eye surrounding the pupil which distinguishes it from retina scanning It relies on high-resolution images of the iris, captured using specialized cameras or scanners, to extract distinct features such as the arrangement of furrows, crypts, and rings.
These features are then converted into a digital template, which is stored in a database for comparison during authentication. When an individual seeks authentication, a new image of their iris is captured and compared to the stored templates using pattern-matching algorithms. If there is a sufficient match, the individual’s identity is verified. Iris recognition technology is known for its accuracy and reliability, as iris patterns are highly distinctive and stable over time. It finds applications in various sectors, including border control, law enforcement, access control, and identity management.
Facial Recognition
Facial recognition system is a sophisticated way to verify or ascertain someone’s identity using an algorithm that processes a digital image or video frame. It picks out distinguishing features of someone’s face shown in an image and matches these to the faces already logged within a database. It is growing in popularity, with new uses for it being developed all the time. Digital images and video stills are becoming clearer and easier to pick out distinct people and faces, while the matching software and algorithms are benefitting from increased data sources and accuracy.
The use of facial recognition and data is also increasingly becoming a vital part of commercial identification, helping to target individuals and personalize sales and marketing messages. Facial recognition is also increasingly used in automatic image indexing, human-technology interactions, and video surveillance systems. Technological advances are constantly happening, with significant upgrades.
Voice Recognition
A person’s voice – i.e. the way they sound when they speak – is the result of a combination of distinctive physical attributes (such as the length of vocal cords and the shape of the throat) and distinctive behavioural attributes (such as the accent with which a person speaks).
The human voice consists of / creates wave lengths that can be measured. The voice is collected and analysed by software that employs artificial intelligence and machine learning techniques to produce a vast array of data derived from factors such as modulation of speech, tones, accent, frequency etc. These elements enable the system to create a reference template of the voice (known as a ‘voice print’ or ‘voice model) that can be used to authenticate the speaker in subsequent transactions. Similar technology is applied to allow devices to understand, translate and interact with a voice command/question, for example, when talking to smart speakers, mobile devices, domestic appliances, virtual assistants.
DNA biometrics
DNA (Deoxyribonucleic acid) biometrics uses genetic information, specifically DNA profiles, as a unique identifier for identification, verification and authentication. By analysing a person’s genetic code, a distinctive biometric template is created for security and identification This technology is based on the fact that each person’s DNA sequence is unique, making it a highly reliable form of biometric identification.
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Telephone: +44 (0) 207 101 5015
E-mail: support@aigr.ai
Address: 71-75 Shelton Street, London, WC2H 9JQ, United Kingdom