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Fingerprint sensors can be found on mobile devices. The fingerprint sensor is used to unlock the device and authorize actions, like money and file transfers, for example. It can be used to prevent a device from being used by an unauthorized person. It is also used in attendance in number of colleges and universities.
To match a print, a fingerprint technician scans in the print in question, and computer algorithms are utilized to mark all minutia points, cores, and deltas detected on the print. In some systems, the technician is allowed to perform a review of the points that the software has detected, and submits the feature set to a one-to-many (1:N) search.
Automated fingerprint verification is a closely related technique used in applications such as attendance and access control systems. On a technical level, verification systems verify a claimed identity (a user might claim to be John by presenting his PIN or ID card and verify his identity using his fingerprint), whereas identification systems ...
The latest technology allows the use of app (application software) based geo-fence capabilities. [2] Allowing an employee to clock in & out only when they are within an internet geolocation. Facial recognition systems are also available with these app based software technologies, eliminating the need of fingerprint scanners.
The first fingerprint-based cancelable biometric system was designed and developed by Tulyakov et al. [60] Essentially, cancelable biometrics perform a distortion of the biometric image or features before matching. The variability in the distortion parameters provides the cancelable nature of the scheme.
A facial recognition system [1] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces. Such a system is typically employed to authenticate users through ID verification services, and works by pinpointing and measuring facial features from a given image. [2]
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