Fingerprint Recognition System Study
- Authors: Prerna1, Rishika Yadav2, Shashank Awasthi3, Satya Prakash Yadav4, Prashant Upadhyay5
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View Affiliations Hide Affiliations1 Department of Computer Science, Graphic Era Deemed to be University, Dehradun, India 2 Department of Computer Science, Graphic Era Hill University, Dehradun, India 3 School of Computer Science Engineering and Technology (SCSET), Bennett University, Greater Noida, Uttar Pradesh, India 4 School of Computer Science Engineering and Technology (SCSET), Bennett University, Greater Noida, Uttar Pradesh, India 5 Department of Computer Science and Engineering, School of Engineering & Technology, Sharda University, Greater Noida, India
- Source: A Practitioner's Approach to Problem-Solving using AI , pp 57-71
- Publication Date: October 2024
- Language: English
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Due to its broad use in fields including law enforcement, access control, and personal identity, fingerprint recognition systems have attracted a lot of interest in recent years. This paper offers a thorough examination of fingerprint recognition systems, concentrating on their underlying ideas, methods, and performance assessment. The study starts by giving a general review of the biometric identification sector while highlighting how distinct and stable fingerprints are as a trustworthy form of personal identification. Highlighting significant turning points and developments, it examines the historical evolution of fingerprint identification systems from manual fingerprint analysis to automated digital systems. This research seeks to increase the knowledge of biometric identification technologies by offering a thorough review of fingerprint recognition systems. Researchers, professionals, and politicians interested in the creation and deployment of safe and effective fingerprint recognition systems for a variety of applications can benefit from the discoveries and insights offered.
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