Business Card Reader with Augmented Reality Engine Integration

Hing, Vincent; Khoo, Hee Kooi

doi:10.1007/978-981-10-1721-6_24

Cited by 6 publications

(1 citation statement)

References 4 publications

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“…This small piece of paper contains a lot of important information with a tiny font that can cause strain in eyes of people suffering from vision defects. Vincent Hing and Hee Kooi Khoo [10] address this issue in their paper. They propose an augmented reality-based Business card application reader (BCAR) which uses the image recognition technique to extract information from the visiting card with up to 96% accuracy.…”

Section: Literature Surveymentioning

confidence: 99%

Face Recognition for Payment and Information Sharing

Singh¹,

Bangalore²,

Amutha³

et al. 2020

IJRITCC

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We have seen the emergence of various payment and information sharing methods with the rapid digitization of such services. Payment methods like NFC, Credit/Debit card, and QR code-based have become very common. These methods were intended to provide secure, safe and faster transactions. Although these have succeeded in their intentions up to some extent, there are various factors that are posing problems like confusion, time consumption, security threat, fraud, and theft. When it comes to sharing contact information and social media handles, visiting cards are still preferred but this is not the most reliable method as one either tends to lose these cards or has to store this information manually on their phone. This paper provides a comprehensive survey of the various available methods for making mobile payments and sending contact details as well as the challenges faced. Furthermore, we discuss and compare alternative available technologies like face recognition that can be implemented.

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Section: Literature Surveymentioning

confidence: 99%