A Novel 3D Facial Recognition for Digital Payments

Author(s):  
K. C. Prabu Shankar ◽  
M. Hema
Author(s):  
Chrisanthi Nega

Abstract. Four experiments were conducted investigating the effect of size congruency on facial recognition memory, measured by remember, know and guess responses. Different study times were employed, that is extremely short (300 and 700 ms), short (1,000 ms), and long times (5,000 ms). With the short study time (1,000 ms) size congruency occurred in knowing. With the long study time the effect of size congruency occurred in remembering. These results support the distinctiveness/fluency account of remembering and knowing as well as the memory systems account, since the size congruency effect that occurred in knowing under conditions that facilitated perceptual fluency also occurred independently in remembering under conditions that facilitated elaborative encoding. They do not support the idea that remember and know responses reflect differences in trace strength.


2019 ◽  
Vol 10 (6) ◽  
pp. 489-500
Author(s):  
Andrea Valente ◽  
◽  
David Atkinson ◽  

This study aimed to investigate the conditions in which Bitcoin has developed as a leading cryptocurrency and, according to Nakamoto (2008), could become an instrument for everyday payments around the world. In comparison to other digital payment solutions, Bitcoin is based on a peer-to-peer electronic cash system using “the blockchain”. This innovative technology allows for decentralised storage and movement of currency in a fully anonymous way, introducing advantageous methods for encrypted security and faster transactions (Hagiu & Beach, 2014). Scepticism regards Bitcoin’s foundation, energy consumption and price volatility, however, did not take long to arise (Holthaus, 2017). Ten years from its white paper release, Bitcoin is further supported by the same drivers which could sustain its growth as the future of digital payments (Russo, 2018). In order to investigate the key drivers and feasibility of acceptance, a London based survey was used to understand the desirability of Bitcoin as a day-to-day tool for digital payments. Additionally, this research analysed Bitcoin’s stakeholders and forecast drivers of sustainability for its application to become the future of the payment industry. A space which relies on policies that involve multiple layers of society, governments, regulators and tech-firms, all on a global scale. The findings confirmed how the increasing lack of trust of political and financial institutions, coupled with the increasing cases of data-breaches by tech-firms, encouraged over 70% of respondents to consider more decentralised and anonymous methods for their day-to-day actions; like payments. Policy makers need to cope with societies increasingly separating politically but gathering together digitally (LBS, 2017). For Bitcoin to truly establish itself as a global digital payment solution, key stakeholder acceptance must converge alongside the introduction of more robust regulation.


2020 ◽  
Vol 43 (2) ◽  
pp. 45-56
Author(s):  
Abigail Nieves Delgado

The current overproduction of images of faces in digital photographs and videos, and the widespread use of facial recognition technologies have important effects on the way we understand ourselves and others. This is because facial recognition technologies create new circulation pathways of images that transform portraits and photographs into material for potential personal identification. In other words, different types of images of faces become available to the scrutiny of facial recognition technologies. In these new circulation pathways, images are continually shared between many different actors who use (or abuse) them for different purposes. Besides this distribution of images, the categorization practices involved in the development and use of facial recognition systems reinvigorate physiognomic assumptions and judgments (e.g., about beauty, race, dangerousness). They constitute the framework through which faces are interpreted. This paper shows that, because of this procedure, facial recognition technologies introduce new and far-reaching »facialization« processes, which reiterate old discriminatory practices.


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