An empirical study on iris recognition in a mobile phone

作者：

Highlights：

• Address issues from the implementing iris recognition system on mobile phone.

• Propose optimal wavelength and installation position of illuminators for the system.

• An optimal user's gazing point is proposed to minimize occlusion and off-angle.

• Eye detection algorithm can detect an eye in real time on mobile phone.

• BERC mobile-iris database is constructed autonomously by using a proposed system.

摘要

•Address issues from the implementing iris recognition system on mobile phone.•Propose optimal wavelength and installation position of illuminators for the system.•An optimal user's gazing point is proposed to minimize occlusion and off-angle.•Eye detection algorithm can detect an eye in real time on mobile phone.•BERC mobile-iris database is constructed autonomously by using a proposed system.

论文关键词：Iris recognition,Smartphone,Mobile,Portable,Handheld,CED,Circular Edge Detection,CPU,Central Processing Unit,EER,Equal Error Rate,FAR,False Accept Rate,FRR,False Reject Rate,FTA,Failure to Acquire,FTE,Failure to Enroll,HD,Hamming Distance,LED,Light Emitting Diode,LOOCV,Leave-One-Out Cross-Validation,NIR,Near-Infrared,PIN,Personal Identification Number,RAM,Random Access Memory,RED,Rapid Eye Detection,ROC,Receiver Operating Characteristic,ROI,Region of Interest

论文评审过程：Received 4 June 2015, Revised 21 January 2016, Accepted 27 January 2016, Available online 6 February 2016, Version of Record 23 February 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.01.050