Optimal Handwriting Recognition Using Soft Computing Techniques: Design and Implementation - Savita Ahlawat
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Toimitus 15-21 arkipäivässä
30 päivän palautusoikeus
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 i ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Savita Ahlawat |
|---|---|
| Julkaisija | Scholars' Press |
| Julkaisuvuosi | 2019 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9786138839149 |