Iris Recognition Using Daugman Algorithm on Raspberry Pi

被引：0

作者：

Cruz, Febus Reidj G. ^{[1
,2
]}

Hortinela, Carlos C. ^{[1
]}

Redosendo, Benner E. ^{[1
]}

Asuncion, Bianca Karla P. ^{[1
]}

Leoncio, Christian Jay S. ^{[1
]}

Linsangan, Noel B. ^{[1
]}

Chung, Wen-Yaw ^{[2
]}

机构：

[1] Mapua Inst Technol, Sch Elect Elect & Comp Engn, Manila, Philippines

[2] Chung Yuan Christian Univ, Dept Elect Engn, Taoyuan, Taiwan

来源：

PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON) | 2016年

关键词：

Biometric; Iris Recognition; Daugman Algorithm; Raspberry Pi; False Acceptance Rate; False Rejection Rate;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Biometric is an automated recognition process that measures the unique human characteristics, such as iris recognition. Of late, different kinds of iris recognition techniques are available that can be used in different platforms. Daugman algorithm is one of the iris recognition techniques that provide high percentage of accuracy. This study aims to develop a device that performs Iris Recognition using Daugman algorithm on Raspberry Pi. Through the implementation of Daugman algorithm on Raspberry Pi, more applications may come up for iris recognition. Also to make the system adapt with the limitations of Raspberry Pi and the existing application, this work created an image processing function that preprocesses the image before it is passed to the application. Based on the tests implemented, the False Acceptance Rate (FAR) and False Rejection Rate (FRR), the system is mostly to reject registered actors than to accept impostors due to the hardware limitations.

引用

页码：2126 / 2129

页数：4

共 50 条

[41] Iris Unwrapping Using the Bresenham Circle Algorithm for Real-Time Iris Recognition
Carothers, Matthew T.
Ngo, Hau T.
Rakvic, Ryan N.
Broussard, Randy P.
[J]. REAL-TIME IMAGE AND VIDEO PROCESSING 2015, 2015, 9400
[42] Iris Recognition using the Ridge Energy Direction (RED) Algorithm
Ives, Robert W.
Broussard, Randy P.
Kennell, Lauren R.
Rakvic, Ryan N.
Etter, Delores M.
[J]. 2008 42ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1-4, 2008, : 1219 - 1223
[43] Implementation aspects of speaker recognition using Python']Python language and Raspberry Pi platform
Weychan, Radoslaw
Marciniak, Tomasz
Dabrowski, Adam
[J]. SPA 2015 SIGNAL PROCESSING ALGORITHMS, ARCHITECTURES, ARRANGEMENTS, AND APPLICATIONS, 2015, : 162 - 167
[44] Implementation of Object Detection and Recognition Algorithms on a Robotic Arm Platform Using Raspberry Pi
Kaymak, Cagri
Ucar, Aysegul
[J]. 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND DATA PROCESSING (IDAP), 2018,
[45] TEXT RECOGNITION AND FACE DETECTION AID FOR VISUALLY IMPAIRED PERSON USING RASPBERRY PI
Rajesh, M.
Rajan, Bindhu K.
Roy, Ajay
Thomas, Almaria K.
Thomas, Ancy
Tharakan, Bincy T.
Dinesh, C.
[J]. PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON CIRCUIT ,POWER AND COMPUTING TECHNOLOGIES (ICCPCT), 2017,
[46] Development of surveillance robot based on face recognition using Raspberry-PI and IOT
Meddeb, Houda
Abdellaoui, Zouhaira
Houaidi, Firas
[J]. MICROPROCESSORS AND MICROSYSTEMS, 2023, 96
[47] Bangla Optical Character Recognition and Text-to-Speech Conversion using Raspberry Pi
Rajbongshi, Aditya
Islam, Md Ibadul
Rahman, Md Mahbubur
Majumder, Anup
Islam, Md Ezharul
Biswas, Al Amin
[J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2020, 11 (06) : 274 - 278
[48] Raspberry Pi-Based Sleep Posture Recognition System Using AIoT Technique
Chen, Pei-Jarn
Hu, Tian-Hao
Wang, Ming-Shyan
[J]. HEALTHCARE, 2022, 10 (03)
[49] Bangla optical character recognition and text-to-speech conversion using raspberry Pi
Rajbongshi A.
Islam M.I.
Rahman M.M.
Majumder A.
Islam M.E.
Biswas A.A.
[J]. International Journal of Advanced Computer Science and Applications, 2020, 11 (06): : 274 - 278
[50] Home automation using Raspberry Pi
Novak, Matija
Kermek, Dragutin
[J]. CENTRAL EUROPEAN CONFERENCE ON INFORMATION AND INTELLIGENT SYSTEMS, 2015, 2015, : 239 - 245

← 1 2 3 4 5 →