Face recognition based on features measurement technique

M. M. Fakhir, W. L. Woo, S. S. Dlay

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

We present a new technique to infer dimensions that can be used in biometric face recognition. The methodology is centered on inferring unique dimensions from human ears which provides unique physical biometric features. The process of determining the distance is done by harvesting the real actual dimensions from 2D faces images. This is achieved by using specific point to point distances on the two ears in human face. The points chosen give dimension information which enables discrimination for face recognition. The empirical results confirm that an accuracy of 94% recognition rate is achievable. The different positions of measurement points on the ears have a powerful impact to reduce the error of face recognition. Hence, our new measurement dimensions technique is precise and nodal facial points can be reflected as a robust face recognition method.

Original languageEnglish
Title of host publicationProceedings - UKSim-AMSS 8th European Modelling Symposium on Computer Modelling and Simulation, EMS 2014
EditorsDavid Al-Dabass, Marco Vannucci, Athanasios Pantelous, Valentina Colla
PublisherIEEE
Pages158-162
Number of pages5
ISBN (Electronic)978-1-4799-7412-2
DOIs
Publication statusPublished - 13 Jul 2015
EventUKSim-AMSS 8th European Modelling Symposium on Computer Modelling and Simulation, EMS 2014 - Pisa, Italy
Duration: 21 Oct 201423 Oct 2014

Conference

ConferenceUKSim-AMSS 8th European Modelling Symposium on Computer Modelling and Simulation, EMS 2014
CountryItaly
CityPisa
Period21/10/1423/10/14

Fingerprint Dive into the research topics of 'Face recognition based on features measurement technique'. Together they form a unique fingerprint.

Cite this