Pattern Recognition Technologies and Applications: Recent Advances

Chapter I: Fusion of Segmentation Strategies for Off-Line Cursive Handwriting Recognition Brijesh Verma, Central Queensland University, Australia Michael Blumenstein, Griffith University, Australia Chapter II: Elastic Matching Techniques for Handwritten Character Recognition Seiichi Uchida, Kyushu University, Japan Chapter III: State of the Art in Off-Line Signature Verification Luana Batista, École de Technologie Supérieure, Canada Dominique Rivard, École de Technologie Supérieure, Canada Robert Sabourin, École de Technologie Supérieure, Canada Eric Granger, École de Technologie Supérieure, Canada Patrick Maupin, Defence Research and Development Canada Chapter IV: An Automatic Offline Signature Verification and Forgery Detection System Vamsi Krishna Madasu, Queensland University of Technology, Australia Brian C. Lovell, NICTA Limited, Australia and University of Queensland, Australia Chapter V: Introduction to Speech Recognition Sergio Suárez-Guerra, National Polytechnic Institute of Mexico, Mexico Jose Luis Oropeza-Rodriguez, National Polytechnic Institute of Mexico, Mexico Chapter VI: Seeking Patterns for the Forensic Analysis of Handwriting and Speech Graham Leedham, Griffith University, Australia Vladimir Pervouchine, University of New South Wales (Asia), Singapore Haishan Zhong, Nanyang Technological University, Singapore Chapter VII: Image Pattern Recognition Based Morphological Structure and Applications Donggang Yu, Bioinformatics Applications Research Centre, James Cook University, Australia Tuan D. Pham, Bioinformatics Applications Research Centre, James Cook University, Australia Hong Yan, City University of Hong Kong, Hong Kong Chapter VIII: Robust Face Recognition Technique for a Real-Time Embedded Face Recognition System Ting Shan, University of Queensland, Australia Abbas Bigdeli, National ICT Australia, Australia Brian Lovell, University of Queensland, Australia Shaokang Chen, University of Queensland, Australia Chapter IX: Occlusion Sequence Mining for Activity Discovery from Surveillance Videos Prithwijit Guha, Indian Institute of Technology, India Amitabha Mukerjee, Indian Institute of Technology, India K.S. Venkatesh, Indian Institute of Technology, India Chapter X: Human Detection in Static Images Hui-Xing Jia, Tsinghua University, China Yu-Jin Zhang, Tsinghua University, China Chapter XI: A Brain-Inspired Visual Pattern Recognition Architecture and its Applications Fok Hing Chi Tivive, University of Wollongong, Australia Abdesselam Bouzerdoum, University of Wollongong, Australia Chapter XII: Significance of Logic Synthesis in FPGA-Based Design of Image and Signal Processing Systems Mariusz Rawski, Warsaw University of Technology, Poland Henry Selvaraj, University of Nevada, USA Bogdan J. Falkowski, Nanyang Technological University, Singapore Tadeusz Luba, Warsaw University of Technology, Poland Chapter XIII: A Novel Support Vector Machine with Class-Dependent Features for Biomedical Data Nina Zhou, Nanyang Technological University, Singapore Lipo Wang, Nanyang Technological University, Singapore Chapter XIV: A Unified Approach to Support Vector Machines Alistair Shilton, University Of Melbourne, Australia Marimuthu Palaniswami, University Of Melbourne, Australia Chapter XV: Cluster Ensemble and Multi-objective Clustering Methods Katti Faceli, University of São Paulo, Brazil Andre C. P. L. F. de Carvalho, University of São Paulo, Brazil Marcilio C. P. de Souto, Federal University of Rio Grande do Norte, Brazil Chapter XVI: Implementing Negative Correlation Learning in Evolutionary Ensembles with Suitable Speciation Techniques Pete Duell, University of Birmingham, UK Xin Yao, University of Birmingham, UK Chapter XVII: A Recurrent Probabilistic Neural Network for EMG Pattern Recognition Toshio Tsuji, Hiroshima University, Japan Nan Bu, Hiroshima University, Japan Osamu Fukuda, National Institute of Advanced Industrial Science and Technology (AIST), Japan