Access control based on visual face recognition using Depth Spatiograms of Local Quantized Patterns

Author

Mantecon, Tomas ; del-Blanco, Carlos R. ; Jaureguizar, Fernando ; Garcia, Narciso

Author_Institution

Grupo de Tratamiento de Imagenes, Univ. Politec. de Madrid, Madrid, Spain

fYear

2015

fDate

9-12 Jan. 2015

Firstpage

530

Lastpage

531

Abstract

A novel and robust biometric face identification algorithm for access control applications is proposed. The key contribution is the design of a high discriminative feature descriptor for depth imagery, called Depth Spatiogram of Local Quantized Patterns, which is used as input of a bank of Support Vector Machine classifiers.

Keywords

authorisation; face recognition; image classification; support vector machines; access control applications; depth imagery; depth spatiogram; high discriminative feature descriptor; local quantized pattern; robust biometric face identification algorithm; support vector machine classifier; visual face recognition; Access control; Face; Face recognition; Histograms; Robustness; Sensors; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (ICCE), 2015 IEEE International Conference on

Conference_Location

Las Vegas, NV

Print_ISBN

978-1-4799-7542-6

Type

conf

DOI

10.1109/ICCE.2015.7066512

Filename

7066512

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2123630