Biometrics systems are currently attracting a great deal of attention for very obvious reasons. We need as much literature on the subject as we can get. This book brings together a discussion on biometric systems, statistics, and machine learning. Its aim is to help us understand biometric data, measurements of such systems, and the ability to interpret them is highly desirable. In consequence, a book that attempts to present this advancing area of study and application is bound to attract readers.
Data mining in itself is now a very wide ranging subject and there are numerous texts on the subject many of which are now specializing into particular domains depending on the nature of the data and its application. This book does provide information that transfers into most applications and indeed can act as a guide to those who are not necessarily experienced in the field but like so many software engineers are now facing the task of developing new programs and maintaining the existing biometrics‐type application‐based software suites.
There are sufficient discussions of some existing evaluation strategies and explanations of the concepts involved to assist readers whatever their background. The obvious and very necessary preoccupation with statistics and the concepts that need to be understood in this context will be of practical value to all who are engaged in research and development of these systems and of value to anyone with an interest in data and data mining in whatever field of study. The evaluation techniques introduced will also provide software engineers with some useful tools.
The book suits the needs of many practitioners, those involved with data in all its forms, and also would make useful reading for those who are studying systems, cybernetics, and management in the many and varied courses now being made available worldwide.
