This gives a fine demarcation between the inter class and intra class irises and hence the recognition becomes easier. Principal component analysis has been used to reduce the dimensionality. This enables choice of appropriate features from the iris templates and improves classification. The iris recognition accuracy has been described in terms of False Reject Ratio and False Accept Ratio. Table of contents Chapter 1 – Introduction of Project 1.1. Introduction 1.2. Project background 1.3. Problem Statement 1.4. Project aim and objectives 1.5. Significance of the project 1.6. Scope of project 1.7. Overview of project 2. Chapter - 2 Review of Literature 2.1. Introduction 2.2. Human Iris System 2.2.1. Iris and Biometrics 2.2.2. Artificial Intelligence for Iris recognition 2.3. Scanning the Iris 2.3.1 Localization of Landmarks 2.3.2 Digital Imaging 2.4. statistical dependence 2.5. Principal Component Analysis 2.5.1 Covariance 2.5.2 Normality and Residuals 2.6. Chapter summary Chapter 3 – Methodology and framework of the Project 3.1. Introduction 3.2. Method 3.3. Requirements 3.4. Project Design 3.5. Hardware Design 3.6. Software Design 3.7. Chapter summary Chapter 4 – Project implementation and testing 4.1. Introduction 4.2. Image Segmentation 4.3. Image Normalisation 4.4. Feature extraction and encoding 4.5. Dimensionality Reduction 4.6. Iris matching Chapter 5 – Analysis and Discussion of Results 5.1. Introduction 5.2. Effect of the Parameters 5.3. Analysis of Hamming Distance 5.4. Recognition performance Chapter 6 – Project Management 6.1. Introduction 6.2. Project scheduling 6.3. Time management 6.4. Risk management 6.5. Quality management 6.6. Cost Management Chapter 7 - Critical Appraisal 7.1. Achievements 7.2. Future Research Chapter 8 – Conclusion Chapter 9 – Student Reflection References Appendices List of Figures Fig. 2.1. The Iris marking process. Fig. 2.2. Iris Localization/ Hough Transform Figure 2.3. Iris Recognition Method Fig. 2.4. Iris Recognition in Java Fig.3.1. Sample eye images from CASIA database Fig. 3.2. Waterfall diagram Fig. 3.3. The UML Class diagram for the project in Smart Draw tool. Fig. 3.4. UML activity diagram for this project in Smart Draw. Fig. 4.1. Segmented eye image. Fig.4.2. Eye image with isolated iris region. Fig.5.1. Variation of intra class Standard deviation with number of shifts. Fig.5.2. Histogram of Hamming distance (intra class) without shifting of bits. Fig.5.3. Histogram of Hamming distance (intra class) with 8 times shifting of bits. Fig. 5.4 Histogram of the hamming distances (inter class) with 8 times shifting of bits. Fig.6.1. The Gantt chart for project schedule. List of Tables Table 2.2. Characteristics Index of Biometric Variations Table 2.1 False Rejection Rate Table 6.1. Risk Management Chapter 1 – Introduction of Project 2.3. Introduction This chapter presents a brief introduction about the project in terms of the project background, the scope of the project, the aim and objectives of the project and the overview. Researchers have developed several methods to develop Biometric tools. “A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual” (Majumder, Ray, & Singh, 2009). Among the various biometrics the Iris Recognition System uses
Iris recognition system using principal component analysis Abstract Iris recognition has been a challenge in the past with the recognition accuracy being low. This project has implemented an iris recognition system using image processing. The hardware arrangement consists of Raspberry Pi arm processor and the software used is MATLAB…
This study is going to look at the effects that some of these interventions have on the kindergarten and establish whether to promote them or curtail their usage. The study is justified to seek answers about the effectiveness of the specific letter-recognition intervention method that are being applied by many people in the learning institutions.
The study aims to explore and critically analyse current published studies relating to nursing observation practice, with particular reference to patients with physiological deterioration. Also, it will critically evaluate research that describes or appraises the nursing practice of taking and recording physiological observations (vital signs) in the detection of deteriorating hospital patients.
Presently, the size of the company is given in terms of market capacity as 7.4 billion dollars (NiSource Inc, 2012). This market capacity is made up of “a total of 57,717 miles of pipelines and related facilities and serving a market segment of approximately 2.2 million customers” (NiSource, 2011).
Comparisons of structures of annexin A5 orthologues derived form human, mouse, chick and rat have aided in the determination of conserved regulatory motifs as well as coding regions. Conversely, the functional active chains are yet to be characterized.
Besides the opportunity for portfolio diversification, investors prefer stocks in international markets due to a number of other factors like high returns, favorable laws etc. Irrespective of their geographical location, investors remain vigilant over the prospects and performances of the companies they have invested in.
The distinct features of human beings which vary greatly from one another include finger prints, facial features, voice, handwriting etc. The work of biometric systems is dependent on a complex process whereby the sample of distinct characteristic is saved for recognition of the individual.
Ionotropic gelation is based on the ability of polyelectrolytes such as gellan gum to cross link in the presence of counter ions, like Calcium (Ca2+) and Zinc (Zn3+) ions, to form hydrophilic hydrogel beads (gelispheres). These beads swell when exposed to biological fluids, thereby gradually releasing the drug inside.
From this research it is clear that an Inventory control system is an integrated package of software and hardware used in warehouse operations, and elsewhere, to monitor the quantity, location and status of inventory as well as the related shipping, receiving, picking and putaway processes In common usage, the term may also refer to just the software components.
Not only does the state have the responsibility of protecting all citizens, but it also has a shared responsibility in protecting our youth, those often the most vulnerable and least able to speak for themselves. The Children Act 2001 is a means to give children their voice, yet many of the key components to achieving this still sit idle waiting for the government.
The subject of this study is a property development firm called ‘DPSB’. This firm has been relatively successful in the engineering projects that they have pursued and actually has a fine balance sheet. In this study, we take a look at DPSB: their problems, uncertainties and poor performance in property development.
40 pages (10000 words)Dissertation
Hire a pro to write a paper under your requirements!
Win a special DISCOUNT!
Put in your e-mail and click the button with your lucky finger
Apply my DISCOUNT
Got a tricky question? Receive an answer from students like you!Try us!
Let us find you another Dissertation on topic Iris recognition system using principal component analysis for FREE!