MABIS: Sistema Automático de Biometria Modulado

• Ano de defesa: 2017
• Autor(a) principal: Galvão, João Neto Cronemberger
• Orientador(a): Soares, Fabrízzio Alphonsus Alves de Melo Nunes
• Banca de defesa: Soares, Fabrízzio Alphonsus Alves de Melo Nunes, Cruz Júnior, Gelson da, Costa, Ronaldo Martins da
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Ciência da Computação (INF)
• Departamento: Instituto de Informática - INF (RG)
• País: Brasil
• Palavras-chave em Português: Biometria; Sistema Biométricos; Código aberto; Serviços Web; Web API
• Palavras-chave em Inglês: Biometrics; Biometric Systems; Open source; Web service; Web API
• Área do conhecimento CNPq: CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/7035

Over the years, biometrics has become a valuable resource for human identification be- cause it is an affordable, safe and reliable technique. Various security entities throughout the world, public and private, are committed to the use of biometrics in security; both in access control and for identifying suspects. In addition, many crimes can be prevented with tools that allow crosschecking of biometric data. However, biometric systems cur- rently in use are developed and provided by companies as proprietary systems. For this reason, the creation of a free and open tool will bring more security, control and savings for the government. For this reason, the objective of this work is to create a prototype of a free and open tool, developed within the Web Services approach, associated to the development of an API that will aim at a standardization of biometrics services, conside- ring the exchange of data between distinct and independent biometric applications with a low level of coupling and interoperability between systems of different platforms and technologies, so that it is possible to add to the service and use of multiple biometric functionalities such as face recognition, voice, fingerprints, hand geometry, iris, or even a combination, among others, to perform a task of personal identification.