Personal Verification and Identification Using Hand Geometry

Main Article Content

Nongluk Covavisaruch
Pipat Prateepamornkul
Puripant Ruchikachorn
Piyanaat Taksaphan

Abstract

This research proposes a study of personal verification and identification using hand geometry. Hand geometry used in this research consists of the lengths and widths of fingers and the width of a palm. Users can place their hands freely without the need for pegs to fix the hand placement. In this research, systems using six different distance functions were tested and compared. Test data are from 96 users. Among the six different distance functions, S1 gives the best results in both verification and identification.

Article Details

How to Cite
[1]
N. Covavisaruch, P. Prateepamornkul, P. Ruchikachorn, and P. Taksaphan, “Personal Verification and Identification Using Hand Geometry”, ECTI-CIT Transactions, vol. 1, no. 2, pp. 134–140, Mar. 2016.
Section
Artificial Intelligence and Machine Learning (AI)