Identity Recognition using an Artificial Intelligence based on Artificial Immune System

被引：4

作者：

da Silva, Jadiel Caparros ^{[1
]}

dos Anjos Lima, Fernando Parra ^{[1
]}

Plasencia Lotufo, Anna Diva ^{[1
]}

de Campos Pereira Batista, Jorge Manuel Moreira ^{[2
]}

机构：

[1] Univ Estadual Paulista UNESP, Dept Elect Engn, Ilha Solteira, Brazil

[2] Univ Coimbra, Dept Elect & Comp Engn, Coimbra, Portugal

来源：

2015 ASIA-PACIFIC CONFERENCE ON COMPUTER-AIDED SYSTEM ENGINEERING - APCASE 2015 | 2015年

关键词：

identity recognition; detection and classification; artificial intelligence; artificial immune system of negative selection;

D O I：

10.1109/APCASE.2015.35

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This work aims to realize identity recognition using images from one Database [1]. This facial database is composed of 3D dynamical images or 4D considering the time component as the fourth dimension, where the head movements are removed and only the facial dynamism is considered. The identity recognition is done by an Artificial Intelligence method based on Artificial Immune System of Negative Selection. The performance of the Immune system is satisfactory and encouraging. The obtained results are efficient, robust, precise and reliable to recognize the facial identity.

引用

页码：158 / 162

页数：5

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