新兴生物识别技术：深度推理和其他计算智能
Emerging Biometrics: Deep Inference and Other Computational Intelligence
摘要：
本文旨在确定复杂的生物识别基础设施和系统的设计和建模的新兴计算智能趋势。基于生物特征的系统正朝着深度学习和使用自适应计算原理的深度推理发展，这是现代计算智能领域的前沿潮流。因此，我们专注于广泛部署在生物识别智能推理引擎。计算智能应用程序，涵盖了广泛的生物识别任务，使用生理和行为特征的选择进行说明。我们强调了在未来几代生物识别系统中必须解决的技术差距。报告的方法和结果主要针对致力于开发下一代智能生物识别系统的研究人员。
英文摘要：
This paper aims at identifying emerging computational intelligence trends for the design and modeling of complex biometric-enabled infrastructure and systems. Biometric-enabled systems are evolving towards deep learning and deep inference using the principles of adaptive computing, - the front tides of the modern computational intelligence domain. Therefore, we focus on intelligent inference engines widely deployed in biometrics. Computational intelligence applications that cover a wide spectrum of biometric tasks using physiological and behavioral traits are chosen for illustration. We highlight the technology gaps that must be addressed in future generations of biometric systems. The reported approaches and results primarily address the researchers who work towards developing the next generation of intelligent biometric-enabled systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
