Como trabalhos futuros, pretendemos:
• Realizar o reconhecimento de íris com apoio da cloud, onde módulos do processa- mento que requerem demasiado tempo de execução, como a segmentação, possam ser transferidos para serem executados na infraestrutura da cloud, e assim, possibilitar que o reconhecimento de íris seja realizado eficientemente;
• Expandir esse trabalho com métodos de avaliação que empregam técnicas de ma- chine learning e também deep learning, a fim de tornar o reconhecimento de íris mais robusto para lidar com imagens adquiridas em ambientes outdoor ;
• Estudar técnicas de combinação de descritores e/ou métodos de aprendizagem para melhorar a eficácia do sistema de reconhecimento de íris;
• Realizar testes com outros descritores binários, tais como BinBoost [45], BRIGHT [46], LBP [47], entre outros;
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