Security of Hand Geometry

Security of Hand Geometry

Paper in proceedings outside WoS and Scopus

How can we reliablyidentify a person or verify a persons identity and how secure this method is?The area of biometrics offers a solution to this issue by claiming, that inorder to determine ones identity, we need only some of his/her physicaltraits. Many security systems of today identify people using variousbiometrics, most often fingerprint, facial markers or retina scan. Thesesystems however, are not applicable in every situation either due toenvironmental, price or other reasons, and another method may be required. Handgeometry represents an alternative approach to human identification andverification, that avoids issues, that make more conventional approaches inconvenient,such as placement in areas where face needs to be covered or where fingerprintscan become obscured (non-clean environment).

In this paper, the handgeometry biometrics and its advantages and disadvantages in terms of securitywill be described. How are disadvantages being addressed by current and futureavenues of research and development will be explored. As of now, the existing systemsutilizing hand biometrics are predominantly analyzing 2D representation of ahand, its silhouette, which is acquired statically. As the static acquisitionpresents possible vector of attack on this system, the method of dynamicacquisition of hand geometry using a line scanner will be presented. Thelargest limiting factor preventing widespread of this technology however, isthe relatively low entropy of hand silhouette, which in turn limits the size ofthe serviceable database and increases FAR and FRR and therefore its usage.This paper will therefore also explore how the 3D acquisition and followinganalysis of 3D model can lead to increased security and larger serviceabledatabases as well as how the line scan technology and 3D acquisition can becombined. 

How can we reliablyidentify a person or verify a persons identity and how secure this method is?The area of biometrics offers a solution to this issue by claiming, that inorder to determine ones identity, we need only some of his/her physicaltraits. Many security systems of today identify people using variousbiometrics, most often fingerprint, facial markers or retina scan. Thesesystems however, are not applicable in every situation either due toenvironmental, price or other reasons, and another method may be required. Handgeometry represents an alternative approach to human identification andverification, that avoids issues, that make more conventional approaches inconvenient,such as placement in areas where face needs to be covered or where fingerprintscan become obscured (non-clean environment).

In this paper, the handgeometry biometrics and its advantages and disadvantages in terms of securitywill be described. How are disadvantages being addressed by current and futureavenues of research and development will be explored. As of now, the existing systemsutilizing hand biometrics are predominantly analyzing 2D representation of ahand, its silhouette, which is acquired statically. As the static acquisitionpresents possible vector of attack on this system, the method of dynamicacquisition of hand geometry using a line scanner will be presented. Thelargest limiting factor preventing widespread of this technology however, isthe relatively low entropy of hand silhouette, which in turn limits the size ofthe serviceable database and increases FAR and FRR and therefore its usage.This paper will therefore also explore how the 3D acquisition and followinganalysis of 3D model can lead to increased security and larger serviceabledatabases as well as how the line scan technology and 3D acquisition can becombined. 

Biometrics, 2D hand geometry, 3D hand geometry,structure light, 3D scanner, line scanner 

Biometrics, 2D hand geometry, 3D hand geometry,structure light, 3D scanner, line scanner 

DVOŘÁK, M.; DRAHANSKÝ, M.

2018

01.06.2017

University of Defence in Brno

Brno

978-80-7231-414-0

Proceedings of Conference SPI 2017

17

29

13

https://www.fit.vut.cz/research/publication/11413/

HandGeometry2_SPI2017