Novel active sweat pores based liveness detection techniques for fingerprint biometrics

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Liveness detection in automatic fingerprint identification systems (AFIS) is an issue which still prevents its use in many unsupervised security applications. In the last decade, various hardware and software solutions for the detection of liveness from fingerprints have been proposed by academic research groups. However, the proposed methods have not yet been practically implemented with existing AFIS. A large amount of research is needed before commercial AFIS can be implemented. In this research, novel active pore based liveness detection methods were proposed for AFIS. These novel methods are based on the detection of active pores on fingertip ridges, and the measurement of ionic activity in the sweat fluid that appears at the openings of active pores. The literature is critically reviewed in terms of liveness detection issues. Existing fingerprint technology, and hardware and software solutions proposed for liveness detection are also examined. A comparative study has been completed on the commercially and specifically collected fingerprint databases, and it was concluded that images in these datasets do not contained any visible evidence of liveness. They were used to test various algorithms developed for liveness detection; however, to implement proper liveness detection in fingerprint systems a new database with fine details of fingertips is needed. Therefore a new high resolution Brunel Fingerprint Biometric Database (B-FBDB) was captured and collected for this novel liveness detection research. The first proposed novel liveness detection method is a High Pass Correlation Filtering Algorithm (HCFA). This image processing algorithm has been developed in Matlab and tested on B-FBDB dataset images. The results of the HCFA algorithm have proved the idea behind the research, as they successfully demonstrated the clear possibility of liveness detection by active pore detection from high resolution images. The second novel liveness detection method is based on the experimental evidence. This method explains liveness detection by measuring the ionic activities above the sample of ionic sweat fluid. A Micro Needle Electrode (MNE) based setup was used in this experiment to measure the ionic activities. In results, 5.9 pC to 6.5 pC charges were detected with ten NME positions (50μm to 360 μm) above the surface of ionic sweat fluid. These measurements are also a proof of liveness from active fingertip pores, and this technique can be used in the future to implement liveness detection solutions. The interaction of NME and ionic fluid was modelled in COMSOL multiphysics, and the effect of electric field variations on NME was recorded at 5μm -360μm positions above the ionic fluid.This study is funded by the University of Sindh, Jamshoro, Pakistan and the Higher Education Commission of Pakistan

Terrorist bombings: Medical response in a developing country

Objective: To evaluate the process of transport and immediate Emergency Department (ER) management of mass casualties following the recent bomb blasts in Karachi and review in detail the medical response and management of victims undertaken in these two incidents. Methods: Eyewitness accounts of the victims, medical personnel and newspaper clippings were used to understand and identify difficulties faced during the rescue process. Data regarding presenting injuries and their outcomes was also collected from all victims presenting to the emergency department at Aga Khan University Hospital. Results: Seventy nine individuals died and over 250 victims were injured in the two incidents. All victims and dead bodies were shifted to the nearest public sector hospital overwhelming the health care facility. Subsequently all victims were evacuated to private sector hospitals creating similar difficulties. Over half of the victims presenting at the emergency department had minor injuries and did not require admission. Most patients requiring admission needed orthopaedic intervention. Conclusion: A comprehensive disaster plan with a centralized command and control system is required for the city of Karachi, involving all stake holders including charity ambulance services, security agencies, and trauma management facilities. Training courses and exercises for health care personnel should also be made mandatory to achieve professional excellence

THD Minimization from H-Bridge Cascaded Multilevel Inverter Using Particle Swarm Optimization Technique

In this paper, PSO (Particle Swarm Optimization) based technique is proposed to derive optimized switching angles that minimizes the THD (Total Harmonic Distortion) and reduces the effect of selected low order non-triple harmonics from the output of the multilevel inverter. Conventional harmonic elimination techniques have plenty of limitations, and other heuristic techniques also not provide the satisfactory results. In this paper, single phase symmetrical cascaded H-Bridge 11-Level multilevel inverter is considered, and proposed algorithm is utilized to obtain the optimized switching angles that reduced the effect of 5th, 7th, 11th and 13th non-triplen harmonics from the output voltage of the multilevel inverter. A simulation result indicates that this technique outperforms other methods in terms of minimizing THD and provides high-quality output voltage waveform

Comparative Analysis of Feature Extraction Methods for Cotton Leaf Diseases Detection

Cotton leaf diseases must be accurately detected and classified to reduce plant diseases and output losses. Feature extraction strategies for automated cotton leaf disease diagnosis are compared in this study. The research uses HOG, SIFT, SURF, GLCM, and Gabor wavelets filter feature extractor to extract features. We gathered and preprocessed 2400 cotton leaf images of healthy and diseases, Angular Leaf Spot, Bacterial Blight, Cotton curl leaf disease (CLCuD), as well as Alternaria Disease. K-means clustering separates leaf areas and improves feature extraction in image segmentation. Discriminative features are extracted using the mentioned methods, and Support Vector Machine (SVM) classifier is employed for disease identification. The comparative analysis based on Accuracy, Precision, and Sensitivity reveals the Gabor Wavelet Filter Feature Extractor as the top performer, achieving 92% accuracy on the test dataset containing bacterial blight, curl virus, alternaria, and healthy leaves. While HOG, SIFT, SURF, and GLCM methods also perform well, they are outperformed by the Gabor Wavelet method. This study shows Gabor wavelet-based features can accurately identify and classify cotton leaf illnesses, helping farmers fight plant diseases. The results underscore the need of choosing proper feature extraction methods for autonomous plant disease diagnostic systems

Collaborative Consumptions: An Analysis of Differing Perceptions and Behavior Intentions of Pakistani Consumers

The Intent of this study is to learn about Pakistani consumers' attitudes and behavior intentions concerning Collaborative consumption. For this Consumers’ Behavior expectation is taken as dependent variable whereas economic value, hedonic value symbolic value and social value is taken as independent variable with the mediating role of consumer attitude. Convenient sampling is used to take the responses of 400 people from the city of Karachi Pakistan. Initially respondent data and descriptive statistics are presented to overview the data. Reliability of data was checked through (Cronbach’s Alpha) tests. Finally, regression analysis was employed to check the relation of independent and dependent variable. The result showed that all independent variables have significant and positive impact on dependent variable. The result may aid the managers to engage, understand and address the views of collaborative consumption users

Laboratory Investigation to Assess the Impact of Pore Pressure Decline and Confining Stress on Shale Gas Reservoirs

Four core samples of outcrop type shale from Mancos, Marcellus, Eagle Ford, and Barnett shale formations were studied to evaluate the productivity performance and reservoir connectivity at elevated temperature and pressure. These laboratory experiments were conducted using hydrostatic permeability system with helium as test gas primarily to avoid potential significant effects of adsorption and/or associated swelling that might affect permeability. It was found that the permeability reduction was observed due to increasing confining stress and permeability improvement was observed related to Knudsen flow and molecular slippage related to Klinkenberg effect. Through the effective permeability of rock is improved at lower pore pressures, as 1000 psi. The effective stress with relatively high flow path was identified, as 100-200 nm, in Eagle Ford core sample. However other three samples showed low marginal flow paths in low connectivity

Risk of appendicitis in patients with incidentally discovered appendicoliths

Background: An appendicolith-related appendiceal obstruction leading to appendicitis is a commonly encountered surgical emergency that has clear evidence-based management plans. However, there is no consensus on management of asymptomatic patients when appendicoliths are found incidentally. The objective of this study was to determine the risk of appendicitis in patients with an incidental finding of the appendicolith.Methods: A retrospective matched cohort study of patients with appendicolith discovered incidentally on computed tomographic scan from January 2008 to December 2014 at our institution was completed. The size and position of the appendicolith were ascertained. The study group was matched by age and gender to a control group. Both groups were contacted and interviewed regarding development of appendicitis.Results: In total, 111 patients with appendicolith were successfully contacted and included in the study. Mean age was found to be 38±15y with 36 (32%) of the study population being females. Mean length of appendix was 66±16mm, and mean width was 5.8±0.9mm. Mean size of the appendicolith was 3.6±1.1mm (1.4-7.8mm). Fifty-eight percent of appendicoliths was located at the proximal end or whole of appendix, 31% at mid area, and 11% at the distal end of appendix. All patients of the study and control groups were contacted, and at a mean follow-up of 4.0±1.7y, there was no occurrence of acute appendicitis in either group.CONCLUSIONS: Patients with incidentally discovered appendicolith on radiological imaging did not develop appendicitis. Hence, the risk of developing acute appendicitis for these patients does not seem higher than the general population

Association of the 9p21.3 locus with risk of first-ever myocardial infarction in Pakistanis: Case-control study in South Asia and updated meta-analysis of Europeans

Objective: To examine variants at the 9p21 locus in a case-control study of acute myocardial infarction (MI) in Pakistanis and to perform an updated meta-analysis of published studies in people of European ancestry.Methods and results: A total of 1851 patients with first-ever confirmed MI and 1903 controls were genotyped for 89 tagging single-nucleotide polymorphisms at locus 9p21, including the lead variant (rs1333049) identified by the Wellcome Trust Case Control Consortium. Minor allele frequencies and extent of linkage disequilibrium observed in Pakistanis were broadly similar to those seen in Europeans. In the Pakistani study, 6 variants were associated with MI (P\u3c10(-2)) in the initial sample set, and in an additional 741 cases and 674 controls in whom further genotyping was performed for these variants. For Pakistanis, the odds ratio for MI was 1.13 (95% CI, 1.05 to 1.22; P=2 x 10(-3)) for each copy of the C allele at rs1333049. In comparison, a meta-analysis of studies in Europeans yielded an odds ratio of 1.31 (95% CI, 1.26 to 1.37) for the same variant (P=1 x 10(-3) for heterogeneity). Meta-analyses of 23 variants, in up to 38,250 cases and 84,820 controls generally yielded higher values in Europeans than in Pakistanis.Conclusions: To our knowledge, this study provides the first demonstration that variants at the 9p21 locus are significantly associated with MI risk in Pakistanis. However, association signals at this locus were weaker in Pakistanis than those in European studies