Arun Ross – författare

This book highlights the field of selfie biometrics, providing a clear overview and presenting recent advances and challenges. It also discusses numerous selfie authentication techniques on mobile devices. Biometric authentication using mobile devices is becoming a convenient and important means of verifying identity for secured access and services such as telebanking and electronic transactions. In this context, face and ocular biometrics in the visible spectrum has gained increased attention from the research community.

However, device mobility and operation in uncontrolled environments mean that facial and ocular images captured with mobile devices exhibit substantial degradation as a result of adverse lighting conditions, specular reflections and motion and defocus blur. In addition, low spatial resolution and the small sensor of front-facing mobile cameras further degrade the sample quality, reducing the recognition accuracy of face and ocular recognition technology when integrated into smartphones.

Presenting the state of the art in mobile biometric research and technology, and offering an overview of the potential problems in real-time integration of biometrics in mobile devices, this book is a valuable resource for final-year undergraduate students, postgraduate students, engineers, researchers and academics in various fields of computer engineering.

This volume constitutes the refereed proceedings of the 4th International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2024, held in Jeju Island, South Korea, during July 03-06, 2024. 

The 69 full papers presented together with 08 short papers were carefully reviewed and selected from a total of 135 submissions. The conference focuses on topics that includes advanced deep learning approaches for image and document processing, generative AI, novel analysis methods for medical data, and biometrics.