Classification of the Eye Features for Human Identification and Disease Symptoms

"Categorization of the Eye Features for Human Identity and Disease Symptoms" is a thorough manual for the classification of eye features for human identification and disease diagnosis using computational intelligence. Therese Yamuna Mahesh, the author, expertly summarises the most recent developments in this area and offers helpful insights about how to apply these strategies in practical settings. The fundamentals of eye anatomy and physiology are covered in the book, along with an explanation of how these elements can be utilised to recognise people and identify illnesses. Mahesh then looks into the numerous computational intelligence methods, such as computer vision techniques, deep learning algorithms, and machine learning algorithms. The book offers a full explanation of how each approach can be utilised to get precise and trustworthy results. These techniques are applied to eye features, including the iris, retina, and sclera. This book is a crucial tool for anyone working in the disciplines of biometrics, medical imaging, or computer vision because it includes real-world examples and case studies. This book will give you the knowledge and abilities you need to effectively use computational intelligence approaches in your work, whether you're a student, researcher, or practitioner. A thorough, interesting, and thoroughly studied manual, "Classification of the Eye Features for Human Identification and Disease Symptoms" makes a significant addition to the fields of computational intelligence and biometrics. This book is absolutely worth reading if you want to increase your knowledge and proficiency in this field.