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Iris recognition is one of the highest accuracy techniques used in biometric systems. The accuracy of the iris recognition system is measured by False Reject Rate (FRR), which measures the authenticity of a user who is incorrectly rejected by the system due to changes in iris features (such as aging and health condition) and external factors that affect iris image, for instance, high noise rate. External factors such as technical fault, occlusion, and source of lighting that causes the image acquisition to produce distorted iris images create error, hence are incorrectly rejected by the biometric system. FRR can be reduced using wavelets and Gabor filters, cascaded classifiers, ordinal measu...
This book presents parts of the iM3F 2023 proceedings from the mechatronics as well as the intelligent manufacturing tracks. It highlights recent trends and key challenges in mechatronics as well as the advent of intelligent manufacturing engineering and technology that are non-trivial in embracing Industry 4.0 as well as addressing the UN Sustainable Development Goals. The book deliberates on conventional as well as advanced solutions that are utilized in the variety of mechatronics and intelligent manufacturing-based applications. The readers are envisaged to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book. It provides a platform that allows academics as well as other relevant stakeholders to share, discuss, and deliberate their latest research findings in the field of manufacturing, mechatronics, and materials, respectively.
This book showcases a portion of the iM3F 2023 conference proceedings, focusing on the recent advancement in sustainable manufacturing and materials. It emphasizes recent progress, significant advancements, and challenges to the materials science and engineering community, along with the emergence of intelligent manufacturing engineering and technology while addressing the UN Sustainable Development Goals. The book discusses both traditional and advanced approaches used in various sustainable manufacturing and materials applications. Readers can expect to gain a comprehensive understanding of current trends, challenges, solutions, and mitigating factors from this publication.
Selected, peer reviewed papers from the Electronic and Green Materials International Conference (EGM 2015), the Engineering Technology International Conference (ET 2015), the Green Design and Manufacture International Conference (GDM 2015), July 31 - August 1, 2015, Surabaya, Indonesia
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Selected, peer reviewed papers from the 5th International Conference on Material and Manufacturing Technology (ICMMT 2014), May 8-9, 2014, Kuala Lumpur, Malaysia