<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Aldjia Boucetta, Kamal Eddine Melkemi: Hand shape recognition using Hu and Legendre moments</style></title><secondary-title><style face="normal" font="default" size="100%">SIN '13: Proceedings of the 6th International Conference on Security of Information and Networks</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://dl.acm.org/doi/proceedings/10.1145/2523514?id=31</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Association for Computing Machinery (ACM)</style></publisher><pub-location><style face="normal" font="default" size="100%">New York NY United States</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;span style=&quot;display:inline!important;float:none;background-color:rgb(255,255,255);color:rgb(51,51,51);merriweathersans,sans-serif;13.93px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:left;text-decoration:none;text-indent:0px;text-transform:none;-webkit-text-stroke-width:0px;white-space:normal;word-spacing:0px;&quot;&gt;Hand recognition is one of an important biometric recognition technique. In this paper, we have proposed a simple and efficient technique for hand recognition that combines Hu invariant moments and Legendre moments. &lt;/span&gt;</style></abstract></record></records></xml>