NATURAL LANGUAGE PROCESSING AND ITS APPLICATIONS IN BIOMETRICS VS. BLOCKCHAIN

Authors

  • Rejina P V Assistant Professor In Computer Science, Co-Operative Arts And Science College , Madayi, Payangadi, Kannur, Kerala

DOI:

https://doi.org/10.29121/shodhkosh.v2.i1.2021.5249

Keywords:

Natural Language Processing, Biometrics, Blockchain, Artificial Intelligence, Data Security, Identity Verification, Smart Contracts, Authentication

Abstract [English]

Natural Language Processing (NLP) which is part of artificial intelligence, allows machines to work with human language. As more advanced technology is being developed, NLP sees wider use, primarily with biometrics and blockchain. With biometrics, we use physical features to verify a person’s identity and blockchain provides safe and distributed data handling. In this paper, we review how NLP connects to these domains, note their main advantages and disadvantages and look at how it helps secure data and automates tasks. Statistics and hypothesis testing are applied to examine how effective NLP is in these markets.

References

Bansal, R. K., & Kumar, S. (2003). Voice-based biometric system using artificial neural networks. IETE Technical Review, 20(1), 69-75.

Agrawal, R., & Srikant, R. (2000). Privacy-preserving data mining. Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 439-450. DOI: https://doi.org/10.1145/342009.335438

Sahoo, G., & Kumar, S. (2009). Analysis of biometric authentication system using fingerprint recognition. International Journal of Computer Applications, 1(16), 71-75.

Ramesh, K., & Dhanalakshmi, R. (2012). Speech recognition using hybrid features and SVM classifier. International Journal of Computer Applications, 41(19), 1-6. DOI: https://doi.org/10.5120/9781-4301

Nair, M. K., & Mathew, R. (2017). Blockchain technology: Applications in Indian banking sector. International Journal of Advanced Research in Computer Science, 8(9), 115-119.

Gupta, M., & Yadav, S. (2018). Blockchain technology: A revolution in Indian banking system. International Journal of Research and Analytical Reviews, 5(4), 367-371.

Raghavan, B. S., & Rajagopal, P. (2004). Biometric authentication mechanisms and applications. CSI Communications, 28(1), 10-16.

Joshi, S. D., & Mathur, A. (2015). A study on natural language processing and its applications. International Journal of Engineering Research & Technology, 4(10), 313-315.

Tiwari, R. K., & Mittal, V. (2019). Blockchain: Applications in Indian e-governance system. Journal of Emerging Technologies and Innovative Research, 6(5), 124-129.

Yadav, V., & Sinha, R. (2020). Role of biometrics in Aadhaar and digital identity in India. Journal of Governance and Public Policy, 10(2), 43-50.

Mishra, R., & Mishra, A. (2016). Application of NLP in Indian languages: A study. International Journal of Innovative Research in Computer and Communication Engineering, 4(3), 3944-3949.

Deshmukh, M. N., & Giri, P. A. (2020). Awareness and perception regarding Aadhaar-linked biometric data: A study among rural residents in Maharashtra. Indian Journal of Community Health, 32(2), 294-298.

Kumar, A., & Srivastava, D. (2015). Cloud computing security using biometrics. International Journal of Computer Applications, 111(10), 1-4.

Verma, A., & Agarwal, P. (2019). Integrating blockchain with artificial intelligence for Indian agriculture. International Journal of Recent Technology and Engineering, 8(3), 6506-6510.

Sharma, V., & Bansal, A. (2020). Applications of NLP in healthcare sector of India: Challenges and prospects. International Journal of Scientific & Technology Research, 9(1), 240-243

Downloads

Published

2021-06-30

How to Cite

P V, R. (2021). NATURAL LANGUAGE PROCESSING AND ITS APPLICATIONS IN BIOMETRICS VS. BLOCKCHAIN. ShodhKosh: Journal of Visual and Performing Arts, 2(1), 90–94. https://doi.org/10.29121/shodhkosh.v2.i1.2021.5249