Abstract
Real-time facial recognition systems are being widely implemented all around the world because of being efficient, reliable and very accurate systems. The Facial recognition softwares are everywhere we look and the best examples are payment methods, where we can securely make our payments without the need to enter our passwords or we can just make our groceries and the payments have done through payment methods by our identity has recognized through camera at a shop. Nowadays, Universities all around the world are also starting to use these very useful systems for taking their attendances or to authenticate their school stuff or students. This system challenge is securing the face data in database. In this chapter, we have discussed the facial recognition system (FaceHub). The requirements modelling and the real-time facial recognition system (FaceHub) that we created in order to make use of it in our University attendance system and introducing blockchain technology for facial data management, which manage the facial data in the permissioned distributed server to securely store the facial data of student. Also, we discussed the benefits of blockchain in FaceHub Data. To further, improve the security of the software by implementing the blockchain into our software.
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Abbreviations
- FaceHub :
-
The short name for facial recognition software (FaceHub means the collection of faces).
- Face recognition :
-
The method of identifying or verifying the identity of an individual using their face.
- Face detection :
-
The computer technology used in a variety of applications that identifies human faces in digital images.
- Fingerprint reading :
-
The process of using a computer or fingerprint reader to match fingerprints against a database of known and unknown prints.
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Ismatov, A., Enriquez, V.G., Singh, M. (2021). FaceHub: Facial Recognition Data Management in Blockchain. In: Lee, SW., Singh, I., Mohammadian, M. (eds) Blockchain Technology for IoT Applications. Blockchain Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-33-4122-7_7
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DOI: https://doi.org/10.1007/978-981-33-4122-7_7
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