Passive stereo sensing for 3D facial shape biometricsDate:2021-09-10
Payment verification method, apparatus and system
The biometric smart card launched by UINT & Mereal Biometrics is a multi -application smart card using Fingerprint Cards (FPC) embedded fingerprint touch sensor and processor. It enables biometric fingerprint authentication in a top secure environment with local matching providing privacy of holders as biometric data never leave the card. First applications of the card are physical and logical access control for . The smart card is now finalist in the award Discovery category at the upcoming show Cartes in () and will be displayed by Mereal Biometrics in Booth 4 N 087(-list/MEREAL -BIOMETRICS/(search_field)/mereal+biometrics/(sort_by)/az/(limitation)/20 ). A new generation of is born; for the first time a smart card is having its own embedded biometric fingerprint reader, performs the verification on board and can be used in multiple applications. Introducing biometrics into the smart card market means meeting the toughest industry requirements available when it comes to low power consumption, optimized form factor and robust sensor design. FPCs fingerprint sensors meet these requirements and we are really excited to now introduce this biometric smart card to the market. says Philippe BLOT, Chief Executive Officer of UINT ().Johan Carlstrm, President and CEO of FPC, comments: This launch of a biometric smart card is a market break-through and marks a milestone for integrating biometrics into smart cards. Security and protection of privacy has always been top priority in smart cards and the use of biometrics makes this possible with high user convenience. FPCs fingerprint sensor meets the smart card industrys strong technical requirements and together with UINTs vast expertise in innovative card technologies this new biometric smart card has now reached the market. This launch is a major breakthrough and something that UINT, Mereal Biometrics and FPC has effortlessly been striving towards for four years and a confirmation of FPCs world -leading position as a supplier of capacitive fingerprint , with highest quality, compact size and lowest power consumption.For more information, contact: Johan Carlstrm, CEO (publ), +46 (0) 31-60 78 20, Philippe BLOT, CEO UINT, +33 6 75 37 01 27, About UINT &MEREAL BIOMETRICS UINT is a start-up specialized in research and development and commercialization of flexible electronic board solutions that fit in a credit card format card and are autonomous (carrying its own energy). For more than 14 years, UINTs PhDs and engineers deploy their strong experience in research and development of electronics, security transactions and manufacturing of powered smart cards, mastering all the processes and life cycles of products from conception to manufacturing. Mereal Biometrics is a French private company dedicated to licensing of biometric solutions; his president invented the Multiple Application Chip Card having a biometric validation onboard in 2009; After 4 years of R&D, the Mereal Biometrics cards are ready for commercialization and have received a first authorization of French CNIL commission for evaluation, the and patents are protected worldwide.About (publ) (FPC) markets, develops and produces biometric components and technologies that through the analysis and matching of an individuals unique fingerprint verify the persons identity. The consists of biometric sensors, processors, algorithms and modules that can be used separately or in combination with each other. The competitive advantages offered by the FPCs include unique image quality, extreme robustness, low power consumption and complete biometric systems. With these advantages and the ability to achieve extremely low manufacturing costs, the can be implemented in volume products such as smart cards and mobile phones, where extremely rigorous demands are placed on such characteristics. The companys can also be used in IT and Internet security, access control, etc.(publ) discloses this information pursuant to the Swedish Securities Market Act (2007:528) and the Swedish Financial Instruments Trading Act (1991:980). The information was is
Fingerprint-based authentication systems have developed rapidly in the recent years. However, current fingerprint- based biometric systems are vulnerable to spoofing attacks. Moreover, the single feature-based static approach does not perform equally over different fingerprint sensors and spoofing materials. In this paper, propose a static software approach. Propose to combine low-level gradient features from speeded-up robust features, pyramid extension of the histograms of oriented gradient and texture features from Gabor wavelet using dynamic score level integration. Extract these features from a single fingerprint image to overcome the issues faced in dynamic software approaches, which require user cooperation and longer computational time.
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