Multi-agent system for selecting images based on the gender and age

This paper presents a multi-agent system that is able to search people on a database of images recognizing patterns of facial features on each person, based on the main features of the face (eyes, nose and mouth). Using that multi-agent architecture, the system can do the work faster applying Fisherfaces algorithm for the face recognition and classification. This technology can be used for several purposes like specific ads in each user group to suit better their interests or search for the age and gender of people that usually go to different places like malls or shops.

[1]  L Sirovich,et al.  Low-dimensional procedure for the characterization of human faces. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[2]  Pablo Chamoso,et al.  ALTAIR: Supervised Methodology to Obtain Retinal Vessels Caliber , 2014, DCAI 2014.

[3]  Javier Bajo,et al.  Intelligent environment for monitoring Alzheimer patients, agent technology for health care , 2008, Decis. Support Syst..

[4]  Debdeep Banerjee,et al.  Robotic Arm-Based Face Recognition Software Test Automation , 2018, IEEE Access.

[5]  Tarek Frikha,et al.  Use of ridgelets, curvelets application for face recognition: Case study: Smart identity card , 2016, 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

[6]  Fernando de la Prieta,et al.  Facial Expression Recognition System for User Preference Extraction , 2016, DCAI.

[7]  Pedro Luis Galdámez,et al.  Ear Biometrics: A Small Look at the Process of Ear Recognition , 2013, SOCO-CISIS-ICEUTE.

[8]  Wen Hu,et al.  Sensor-Assisted Multi-View Face Recognition System on Smart Glass , 2018, IEEE Transactions on Mobile Computing.

[9]  Juan M. Corchado,et al.  Cloud Computing and Multi Agent System to improve Learning Object Paradigm , 2014, IxD&A.

[10]  David J. Kriegman,et al.  Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.

[11]  Angélica González Arrieta,et al.  Preliminary results on nonparametric facial occlusion detection , 2016 .

[12]  Yassine Ruichek,et al.  Mixed neighborhood topology cross decoded patterns for image-based face recognition , 2018, Expert Syst. Appl..

[13]  Ying-Ke Lei,et al.  Face recognition via Weighted Sparse Representation , 2013, J. Vis. Commun. Image Represent..

[14]  David J. Robertson,et al.  Unfamiliar face recognition : Security, surveillance and smartphones , 2016 .

[15]  Luis Fernando Castillo,et al.  Development of CBR-BDI Agents: A Tourist Guide Application , 2004, ECCBR.