ENHANCED USABILITY OF IRIS RECOGNITION VIA EFFICIENT USER INTERFACE AND IRIS IMAGE RESTORATION

被引：0
|
作者：
He, Zhaofeng [1 ]
Sun, Zhenan [1 ]
Tan, Tieniu [1 ]
Qiu, Xianchao [1 ]
机构：
[1] Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Ctr Biometr & Secur Res, Beijing 100080, Peoples R China
来源：
2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5 | 2008年
关键词：
User Interface; image restoration; iris biometrics;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we investigate the possibility of enhancing the usability of iris recognition via exploration of the specular spots in iris images. Firstly, the spatial configuration of the specular spots in iris images is utilized to estimate the distance between the user and the camera. Based on this a friendly user interface is established to assist users for their range adjustment. Furthermore, the estimated distance is used by an adaptive image restoration scheme to restore the blurred iris image, thereby increasing the depth of field of the iris camera. Experimental results show that the proposed method significantly enhances the usability of iris recognition without noticeable computation cost.
引用
收藏
页码：261 / 264
页数：4
相关论文
共 50 条
  • [31] Design of an efficient algorithm for iris recognition
    Harakannanavar, Sunil S.
    Asharani, T. S.
    PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INVENTIVE COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICICCT), 2018, : 876 - 880
  • [32] Fast and Efficient Iris Image Segmentation
    Ling, Lee Luan
    de Brito, Daniel Felix
    JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING, 2010, 30 (06) : 381 - 391
  • [33] Iris Image Evaluation for Non-cooperative Biometric Iris Recognition System
    Colores, Juan M.
    Garcia-Vazquez, Mireya
    Ramirez-Acosta, Alejandro
    Perez-Meana, Hector
    ADVANCES IN SOFT COMPUTING, PT II, 2011, 7095 : 499 - +
  • [34] Nonintrusive Iris Image Extraction for Iris Recognition-Based Biometric Identification
    Sarp Erturk
    Circuits, Systems and Signal Processing, 2006, 25 : 405 - 419
  • [35] Video Iris Recognition Based on Iris Image Quality Evaluation and Semantic Classification
    Garea-Llano, Eduardo
    Morales-Gonzalez, Annette
    Osorio-Roig, Daile
    PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS (CIARP 2019), 2019, 11896 : 198 - 208
  • [36] Enhanced iris recognition method based on multi-unit iris images
    Shin, Kwang Yong
    Kim, Yeong Gon
    Park, Kang Ryoung
    OPTICAL ENGINEERING, 2013, 52 (04)
  • [37] Nonintrusive iris image extraction for iris recognition-based biometric identification
    Erturk, Sarp
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2006, 25 (03) : 405 - 419
  • [38] A Study on Restoration of Iris Images with Motion-and-Optical Blur on Mobile Iris Recognition Devices
    Kang, Byung Jun
    Park, Kang Ryoung
    INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2009, 19 (04) : 323 - 331
  • [39] An efficient iris recognition algorithm using phase-based image matching
    Miyazawa, K
    Ito, K
    Aoki, T
    Kobayashi, K
    Nakajima, H
    2005 International Conference on Image Processing (ICIP), Vols 1-5, 2005, : 2001 - 2004
  • [40] Efficient Iris Recognition Method for Human Identification
    Basit, A.
    Javed, M. Y.
    Anjum, M. A.
    PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 4, 2005, 4 : 24 - 26
12345