摘要
虹膜识别具有很高的精度和稳定性,已广泛应用在金融、边防和门禁等领域.经过20多年的发展,虹膜识别在成像装置和识别算法方面均取得了显著的进展.一方面,虹膜成像装置的成像距离越来越远、成像范围越来越大、重量体积越来越小,明显提高了虹膜识别系统的易用性.另一方面,大规模的应用促进了许多低质量虹膜图像处理、快速分类检索、跨设备识别和安全隐私保护方法的研究.未来几年,虹膜识别将在技术、应用和行业等方面呈现出以下六大发展趋势:从近红外到多光谱、从人工设计到数据驱动、从人配合机器到机器配合人、从固定设备到移动互联、从可控环境到复杂场景、从各行其是到标准规范.
Iris recognition is very accurate and stable and has been widely applied in finance, border control and access control, etc. Much progress has been achieved both in iris imaging and recognition algorithms in the past two decades. On one hand, iris imaging devices are with further standoff distance,larger capture volume and smaller size, which greatly improves the ease of use of iris recognition systems. On the other hand, large scale applications promote the research in low quality iris image processing, fast classification and retrieval,cross-sensor recognition, data security and privacy protection. In the next several years, iris recognition will present the following six trends in technology, application and industry： from near infrared to multispectral illumination, from rule based to data driven algorithm development, from passive to active user interaction, from fixed and standalone devices to mobile and connected devices, from constrained to complex applications, from disordered to standardized industry.
出处
《信息安全研究》
2016年第1期40-43,共4页
Journal of Information Security Research
基金
国家自然科学基金项目(61403389)
北京市新星计划基金项目(Z141101001814090)
关键词
虹膜识别
虹膜成像装置
虹膜分割
质量评价
特征分析
跨设备识别
iris recognition
iris imaging devices
iris segmentation
quality assessment
feature analysis
cross-sensor recognition
