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Mobile fingerprint capture
Mobile fingerprint capture






mobile fingerprint capture

The authors propose multifunctional mobile biometrics based on combined static and dynamic characteristics of a person. MULTIFUNCTIONAL MOBILE BIOMETRICS USING HUMAN FINGERPRINTġ, 2 Penza State University, Penza, Russia T5-AirSnap constitutes an innovative, high-quality and software-driven scanning functionality for the capture of biometrics, it is fully interoperable and can be easily integrated into existing infrastructure or ecosystems.Īs a deployment package, T5-AirSnap technology is highly efficient and very light.

mobile fingerprint capture

Moreover, its contactless mode of operation renders the process of capturing biometric data safe, a critical requirement during and after the pandemic, and thus can be successfully applied in a wide range of use cases both in the Government and Enterprise sectors. T5-AirSnap eliminates the need for capture technology through purpose-built devices or dedicated scanners, making biometric capture functionality easily available on a ubiquitous platform like a smartphone.

mobile fingerprint capture

To be suitable for use with legacy datasets the technology ensures compliance with the applicable standards and customer requirements. The process ensures that the data is taken from a real person and that the image(s) are of acceptable quality and suitable for further processing.

#Mobile fingerprint capture registration#

This latest innovation by TECH5 allows for accurate biometric acquisition by using the built-in camera of a smartphone, checking and enhancing the quality of the captured images, run a liveness check, and then package and send the data for verification or registration within seconds. TECH5 introduces T5-AirSnap – a fully contactless biometric capture technology powered by AI and deep learning for face and fingerprint biometric modalities. Accelerated by the COVID-19 pandemic, the benefits of contactless biometric technologies have become not only very obvious but in many instances a requirement.








Mobile fingerprint capture