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

Abstract: 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.

Key words: iris recognition, iris imaging devices, iris segmentation, quality assessment, feature analysis, crosssensor recognition