In-Tech, 2010. — 534 p. — ISBN: 978-953-7619-90-9.
Pattern recognition is a very wide research field. It involves factors as diverse as sensors,
feature extraction, pattern classification, decision fusion, applications and others. The signals
processed are commonly one, two or three dimensional, the processing is done in real-
time or takes hours and days, some systems look for one narrow object class, others search
huge databases for entries with at least a small amount of similarity. No single person can
claim expertise across the whole field, which develops rapidly, updates its paradigms and
comprehends several philosophical approaches.
This book reflects this diversity by presenting a selection of recent developments within the
area of pattern recognition and related fields. It covers theoretical advances in classification
and feature extraction as well as application-oriented works. Authors of these 25 works
present and advocate recent achievements of their research related to the field of pattern
recognition.