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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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Chinese Handwriting Recognition: An Algorithmic Perspective (Paperback, 2013 ed.)
Loot Price: R1,871
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Chinese Handwriting Recognition: An Algorithmic Perspective (Paperback, 2013 ed.)
Series: SpringerBriefs in Electrical and Computer Engineering
Expected to ship within 10 - 15 working days
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Designing machines that can read handwriting like human beings has
been an ambitious goal for more than half a century, driving
talented researchers to explore diverse approaches. Obstacles have
often been encountered that at first appeared insurmountable but
were indeed overcome before long. Yet some open issues remain to be
solved. As an indispensable branch, Chinese handwriting recognition
has been termed as one of the most difficult Pattern Recognition
tasks. Chinese handwriting recognition poses its own unique
challenges, such as huge variations in strokes, diversity of
writing styles, and a large set of confusable categories. With
ever-increasing training data, researchers have pursued elaborate
algorithms to discern characters from different categories and
compensate for the sample variations within the same category. As a
result, Chinese handwriting recognition has evolved substantially
and amazing achievements can be seen. This book introduces integral
algorithms used in Chinese handwriting recognition and the
applications of Chinese handwriting recogniers. The first part of
the book covers both widespread canonical algorithms to a reliable
recognizer and newly developed scalable methods in Chinese
handwriting recognition. The recognition of Chinese handwritten
text is presented systematically, including instructive guidelines
for collecting samples, novel recognition paradigms, distributed
discriminative learning of appearance models and distributed
estimation of contextual models for large categories, in addition
to celebrated methods, e.g. Gradient features, MQDF and HMMs. In
the second part of this book, endeavors are made to create a
friendlier human-machine interface through application of Chinese
handwriting recognition. Four scenarios are exemplified:
grid-assisted input, shortest moving input, handwritten micro-blog,
and instant handwriting messenger. All the while, the book moves
from basic to more complex approaches, also providing a list for
further reading with literature comments.
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