Presentation is loading. Please wait.

Presentation is loading. Please wait.

Iris Recognition using Hamming Distance and Neural Network

Published bySuharto Darmali Modified over 6 years ago

Similar presentations

Presentation on theme: "Iris Recognition using Hamming Distance and Neural Network"— Presentation transcript:

1 Iris Recognition using Hamming Distance and Neural Network
Soud Al-Raihan, Md. Ahsanul Kabir Proposal : Introduction : Working with zigzag collarette area of iris Neural Network Iris is the most reliable and accurate among all biometric traits . Iris Pupil Sclera rgb2grey Iris Localization Original RGB Image Grey Level Image Zigzag collarette area localization Different parts of Iris : Collarette Ciliary zone Pupilliary zone 1 Iris Recognition System r θ 1 Mission and Vision : Scability Accuracy Process 2 : Neural network Department of Computer Science and Engineering (CSE), BUET

Download ppt "Iris Recognition using Hamming Distance and Neural Network"

Similar presentations

Introduction to Neural Networks 2. Overview  The McCulloch-Pitts neuron  Pattern space  Limitations  Learning.

Introduction to Neural Networks 2. Overview  The McCulloch-Pitts neuron  Pattern space  Limitations  Learning.
Biomedical Person Identification via Eye Printing Masoud Alipour Ali Farhadi Ali Farhadi Nima Razavi.

Biomedical Person Identification via Eye Printing Masoud Alipour Ali Farhadi Ali Farhadi Nima Razavi.
ECE 5367 – Presentation Prepared by: Adnan Khan Pulin Patel

ECE 5367 – Presentation Prepared by: Adnan Khan Pulin Patel
$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.
Biometrics & Security Tutorial 7. 1 (a) Please compare two different kinds of biometrics technologies: Retina and Iris. (P8:2-3)

Biometrics & Security Tutorial 7. 1 (a) Please compare two different kinds of biometrics technologies: Retina and Iris. (P8:2-3)
Neural Networks My name is Burleson. Neural Networks vs Conventional Computing Programming is broken into small, unambiguous steps Algorithms must be.

Neural Networks My name is Burleson. Neural Networks vs Conventional Computing Programming is broken into small, unambiguous steps Algorithms must be.
HiMax: Characterization of the CogniMem Device EE x96 Project Proposal Advisor: Tep Dobry Sub Advisor: Neil Scott Members: Raymundo Flores EE 296 Darnel.

HiMax: Characterization of the CogniMem Device EE x96 Project Proposal Advisor: Tep Dobry Sub Advisor: Neil Scott Members: Raymundo Flores EE 296 Darnel.
HiMax: Characterization of the CogniMem Device EE x96 Preliminary Design Review Advisor: Tep Dobry Sub Advisor: Neil Scott Members: Raymundo Flores EE.

HiMax: Characterization of the CogniMem Device EE x96 Preliminary Design Review Advisor: Tep Dobry Sub Advisor: Neil Scott Members: Raymundo Flores EE.
Technical Specification / Schedule Department of Computer Science and Engineering Michigan State University Spring 2007 Team : CSE 498, Collaborative Design.

Technical Specification / Schedule Department of Computer Science and Engineering Michigan State University Spring 2007 Team : CSE 498, Collaborative Design.
Department of Electrical and Computer Engineering Physical Biometrics Matthew Webb ECE 8741.

Department of Electrical and Computer Engineering Physical Biometrics Matthew Webb ECE 8741.
Lecture#6: segmentation Anat Levin Introduction to Computer Vision Class Fall 2009 Department of Computer Science and App math, Weizmann Institute of Science.

Lecture#6: segmentation Anat Levin Introduction to Computer Vision Class Fall 2009 Department of Computer Science and App math, Weizmann Institute of Science.
Iris localization algorithm based on geometrical features of cow eyes Menglu Zhang Institute of Systems Engineering 2009.10.17.

Iris localization algorithm based on geometrical features of cow eyes Menglu Zhang Institute of Systems Engineering
Iris Recognition By Mohammed, Ashfaq Ahmed. Introduction Iris Recognition is a Biometric Technology which deals with identification based on the human.

Iris Recognition By Mohammed, Ashfaq Ahmed. Introduction Iris Recognition is a Biometric Technology which deals with identification based on the human.
Color Transfer in Correlated Color Space Xuezhong Xiao, Computer Science & Engineering Department, Shanghai Jiao Tong University Lizhuang Ma., Computer.

Color Transfer in Correlated Color Space Xuezhong Xiao, Computer Science & Engineering Department, Shanghai Jiao Tong University Lizhuang Ma., Computer.
A Brief Survey on Face Recognition Systems Amir Omidvarnia March 2007.

A Brief Survey on Face Recognition Systems Amir Omidvarnia March 2007.
Training Database Step 1 : In general approach of PCA, each image is divided into nxn blocks or pixels. Then all pixel values are taken into a single one.

Training Database Step 1 : In general approach of PCA, each image is divided into nxn blocks or pixels. Then all pixel values are taken into a single one.
Qian Zhang and Christopher LIM Department of Computer Science and Engineering, Hong Kong University of Science and Technology IEEE ICC 2009.

Qian Zhang and Christopher LIM Department of Computer Science and Engineering, Hong Kong University of Science and Technology IEEE ICC 2009.
Computer Science and Engineering - University of Notre Dame Jimmy Neutron CSE 40827/60827 – Ubiquitous Computing November 13, 2009 Project Presentation.

Computer Science and Engineering - University of Notre Dame Jimmy Neutron CSE 40827/60827 – Ubiquitous Computing November 13, 2009 Project Presentation.
Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology Human eye sclera detection and tracking using a modified.

Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology Human eye sclera detection and tracking using a modified.
$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

Similar presentations

Ads by Google