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Optimal Handwriting Recognition Using Soft Computing Techniques
Ahlawat, Savita: (Author)
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Scholarsâ Press
· Paperback
Optimal Handwriting Recognition Using Soft Computing Techniques - Ahlawat, Savita:
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Origin: Spain
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Friday, August 02.
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Synopsis "Optimal Handwriting Recognition Using Soft Computing Techniques"
This book critically reviews the various soft computing techniques employed in handwriting recognition and presents recognition accuracy achievements available in the literature. With advancements in the areas of artificial intelligence and machine learning, the expectation and challenges in handwriting recognition have become more and more demanding. The focus of this book is to explore the various steps involved in a handwriting recognition system such as pre-processing, feature extraction, feature selection and classification. Soft computing techniques such as neural network, fuzzy logic, genetic algorithm and neuro-fuzzy are applied in the recognition process. Some attempts based on hybrid feature extraction, GA based feature subset selection, ranking based feature selection methods, and optimization of learning parameters are also employed for further improvement in the recognition accuracy.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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