Factor Analysis-based Investigation into Financial Crime Related Issues in Nigeria

This paper proposes sixteen indices that were considered very important for the analysis of financial crime related issues in Nigeria. The indices were listed in the questionnaire that was administered on the FCT and thirty out of thirty-six states that span the six geo-political zones of Nigeria to obtain relevant data. Copies of the questionnaire were administered during meetings with stakeholders of banks, insurance companies, educational institutions and other relevant government and private owned establishments. The data obtained were subjected to factor analysis by principal component using SPSS. The analysis identified policies and regulations, responses and management, capacity building and awareness and litigation as the major issues to be addressed if financial crimes are to be checked. The percentage of the contributory effect of these issues and the degree of relevance of their associated indices were determined and found to be less than 100, indicating that the indices of some extraneous issues were not considered in the research instrument. Such issues include but not limited to economic status and cultural and societal impacts. Moreover, a coefficient score matrix was generated and used to estimate and rank the contribution of each respondent to the extracted issues

Multi-Modal Biometrics: Applications, Strategies and Operations

The need for adequate attention to security of lives and properties cannot be over-emphasised. Existing approaches to security management by various agencies and sectors have focused on the use of possession (card, token) and knowledge (password, username)-based strategies which are susceptible to forgetfulness, damage, loss, theft, forgery and other activities of fraudsters. The surest and most appropriate strategy for handling these challenges is the use of naturally endowed biometrics, which are the human physiological and behavioural characteristics. This paper presents an overview of the use of biometrics for human verification and identification. The applications, methodologies, operations, integration, fusion and strategies for multi-modal biometric systems that give more secured and reliable human identity management is also presented

Factor Analysis-based Investigation into Financial Crime Related Issues in Nigeria

This paper proposes sixteen indices that were considered very important for the analysis of financial crime related issues in Nigeria. The indices were listed in the questionnaire that was administered on the FCT and thirty out of thirty-six states that span the six geo-political zones of Nigeria to obtain relevant data. Copies of the questionnaire were administered during meetings with stakeholders of banks, insurance companies, educational institutions and other relevant government and private owned establishments. The data obtained were subjected to factor analysis by principal component using SPSS. The analysis identified policies and regulations, responses and management, capacity building and awareness and litigation as the major issues to be addressed if financial crimes are to be checked. The percentage of the contributory effect of these issues and the degree of relevance of their associated indices were determined and found to be less than 100, indicating that the indices of some extraneous issues were not considered in the research instrument. Such issues include but not limited to economic status and cultural and societal impacts. Moreover, a coefficient score matrix was generated and used to estimate and rank the contribution of each respondent to the extracted issues

Hybrid Genetic Algorithms for Scheduling High-Speed Multimedia Systems

It has been observed that most conventional operating systems could not cope with the scheduling of multimedia tasks owing to the large size of these files. For instance, processing of multimedia tasks using the traditional operating systems are fraught with problems such as low quality of service and delay jitters. In order to address these problems, a scheduling algorithm christened hybrid genetic algorithm for multimedia task scheduling (HGAMTS) was developed. It employed heuristic knowledge of the problem domain to model a hybrid genetic algorithm in a multiprocessor environment. The system is made up of the scheduler model and the task model. The scheduler model consist a centralized dynamic scheduling scheme. In this scheme, all tasks arrive at a central processor (scheduler). The model has a minimum of five and maximum of ten processors. Attached to each processor is a dispatch queue

Hough Transform and Chi-Square-Based Iris Recognition

The paper proposes a new iris recognition method based on canny edge detection, Hough transform, pseudo-polar coordinate, wavelet transform and chi-square algorithms. The iris image is firstly converted to greyscale before the edge detection, segmentation, normalization, feature extraction and feature matching operations are performed in sequential order. Feature extraction module uses wavelet transform-based approach to extract standard iris features while the feature matching module relies on chi square algorithm for reference and template-based feature matching. Analyses of the experimental results revealed satisfactory performance of the new method and its dependence on the quality of the hardware used for image acquisition. Comparison of obtained results with those from some existing iris recognition systems showed competitiveness and superiority of the new method