Adam Krzyzak

Andrea Torsello

Ching Y. Suen

Nicola Nobile

This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2022, held in Montreal, QC, Canada, in August 2022. The 30 papers together with 2 invited talks presented in this volume were carefully reviewed and selected from 50 submissions. The workshops presents papers on topics such as deep learning, processing, computer vision, machine learning and pattern recognition and much more.

Joint IAPR International Workshops, S+SSPR 2022, Montreal, QC, Canada, August 26–27, 2022, Proceedings

Structural, Syntactic, and Statistical Pattern Recognition

Patrick Shen-pei Wang

Thinning is a technique widely used in the pre-processing stage of a pattern recognition system to compress data and to enhance feature extraction in the subsequent stage. It reduces a digitized pattern to a skeleton so that all resulting branches are 1 pixel thick. The method seems easy at first and has many advantages, however after two decades of intensive research, it has been found to be very challenging due to the difficulties in programming computers to do it.This collection of 15 papers by leading scientists working in the area examines the theoretical and experimental aspects of thinning methodologies. The authors have addressed the problems faced, compared their performance results with others, and assessed the challenges ahead. Researchers will find the volume helpful in shedding light on difficult issues and stimulating further research in the area.

Thinning Methodologies for Pattern Recognition

Mary C. Dyson

"The book is a collection of invited chapters by renowned experts and is part of a series on Language Processing, Pattern Recognition, and Intelligent Systems. The content is wide-ranging, encompassing perspectives from computer science to social science to design and reflecting the considerable experience of researchers, teachers and practitioners. This diversity offers rigorous approaches to the topic of Digital fonts and reading, organised in four sections: vision and reading; scientific approaches to reading; perspectives on type design practice; and using type. The heavily illustrated text includes original research, case studies, reviews, and practical advice, serving as a useful handbook or reference to inform design for reading. Traditionally, there has been a separation between researchers and practitioners, with different agendas. This book bridges the gap between scientific testing and design experience and considers the reader's perspective. The collection aims to resonate with academics and students, experienced or novice typographic or interface designers and software engineers, and engage with anyone who has an interest in type and reading."--Provided by publisher

Digital Fonts and Reading

Rajjan Shinghal

This book is part of a new series on operational expert systems worldwide. Expert systems are now widely used in different parts of the world for various applications. The past four years have witnessed a steady growth in the development and deployment of expert systems in Canada. Research in this field has also gained considerable momentum during the past few years. However, the field of expert systems is still young in Canada. This book contains 13 chapters contributed by 31 experts from both universities and industries across Canada covering a wide range of applications related to electric power and circuit boards, health and medicine, the legal field, transportation and decision making.

Operational Expert System Applications in Canada

T. Kasvand

This is an up-to-date volume of selected and expanded papers originating from Vision Interface 88, a conference held in Edmonton, Canada. A broad range of topics are covered-from image processing to hardware design. They include robot vision, biomedical imaging, remote sensing and parallel processing, shape recognition and features, computational methods in vision, and three dimensional vision and application.

Computer Vision and Shape Recognition

Wei-Shi Zheng

Yue Lu

Nicole Vincent

Pong Chi Yuen

Farida Cheriet

This book constitutes the proceedings of the Second International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2020, which took place in Zhongshan, China, in October 2020. The 49 full and 14 short papers presented were carefully reviewed and selected for inclusion in the book. The papers were organized in topical sections as follows: handwriting and text processing; features and classifiers; deep learning; computer vision and image processing; medical imaging and applications; and forensic studies and medical diagnosis.

Ching Y. Suen

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