Framework for a Dynamic Fingerprint Indexing Biometric-based Voting System: Enhancing Voter Enrolment, Verification & Authentication
نویسندگان
چکیده
Biometrics existed in antiquity but has in recent times re-emerged as a new field of study in Computer Science and Engineering. A biometric is a physiological (biological) or behavioral trait in a human, called an identifier that uniquely classifies each human. Fingerprint is one of the biological identifiers. Fingerprint recognition is largely used in several civil, governmental and commercial applications. Many countries have embraced fingerprint recognition since it is the most efficient biometric currently. A fingerprint is a latent, scanned or ink impression of the friction ridges of a finger. The friction ridges also known as epidermal ridges are the raised portions of the skin. Formation of the fingerprint starts at the embryonic state after the formation of the central nervous system [1] and the epidermal ridges once formed maintain the same pattern throughout life [2]. This is the basis for fingerprint recognition. The three main feature types or levels used in fingerprint recognition are the level 1, level 2 and level 3 features. Figure 1 shows the ridges and levels 1, 2 and 3 features in a fingerprint. Level 1 features are characteristic of the ridge flow pattern and include loop, core, whorl and delta features SUMMARY
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