CVJun 7, 2020

Finger Texture Biometric Characteristic: a Survey

arXiv:2006.04193v115 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental survey paper that reviews existing research on FT biometrics for human recognition systems.

The paper presents a comprehensive survey of Finger Texture (FT) as a biometric characteristic, summarizing its features, performance, and challenges, and provides suggestions for future improvements.

\begin{abstract} In recent years, the Finger Texture (FT) has attracted considerable attention as a biometric characteristic. It can provide efficient human recognition performance, because it has different human-specific features of apparent lines, wrinkles and ridges distributed along the inner surface of all fingers. Also, such pattern structures are reliable, unique and remain stable throughout a human's life. Efficient biometric systems can be established based only on FTs. In this paper, a comprehensive survey of the relevant FT studies is presented. We also summarise the main drawbacks and obstacles of employing the FT as a biometric characteristic, and provide useful suggestions to further improve the work on FT. \end{abstract}

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes