Pattern Recognition Technologies and Applications

The nature of handwriting in our society has significantly altered over the ages due to the introduction of new technologies such as computers and the World Wide Web. With increases in the amount of signature verification needs, state of the art internet and paper-based automated recognition methods are necessary. Pattern Recognition Technologies and Applications: Recent Advances provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking explanation in topics such as on- and offline handwriting and speech recognition, signature verification, and gender classification.

Brijesh Verma is Associate Professor in the School of Computing Sciences at Central Queensland University. His research interests include pattern recognition and computational intelligence. He has authored/co-authored 11 books (1 text book, 10 edited books), 5 book chapters and 101 papers in refereed international journals and conference proceedings. He has supervised 29 research students including 7 PhD students in the areas of pattern recognition and computational intelligence. He has received (chief investigator/co-chief investigator) 11 research grants including ARC and industry linkage grants. He is editors-in-chief of International Journal of Computational Intelligence and Applications (IJCIA) published by World Scientific and an associate editor of IEEE Transaction on Biomedicine in Information Technology. He is serving/has served on organizing, program and advisory committees of over 35 national and international conferences. He is a Senior Member of IEEE, IEEE Computational Intelligence Society and a member of International Neural Network Society (INNS). He is a chair of IEEE Computational Intelligence Queensland Chapter.

Michael Blumenstein is Senior Lecturer and Head of the School of Information and Communication Technology, Griffith University, Gold Coast Campus. His research interests include the areas of Pattern Recognition and Computational Intelligence. His research spans such topics as automated handwriting recognition, the analysis of video imagery for automatic object detection (surveillance) and numerous applications of Artificial Intelligence to the fields of Engineering, Environmental Science and Coastal Management. Dr Blumenstein has published over 50 papers in peer-reviewed conferences and journals in his areas of expertise and has been invited to serve on numerous national/international conference committees in the fields of pattern recognition and computational intelligence.