Optimal Handwriting Recognition Using Soft Computing Techniques: Design and Implementation - Savita Ahlawat
-25% su kodu BOOKS
Pristatymas per 15-21 d.d.
30 dienų grąžinimo politika
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 ... Visas aprašymas
Jums taip pat gali patikti
Aprašymas
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.
Daugiau informacijos
| Autorius | Savita Ahlawat |
|---|---|
| Leidėjas | Scholars' Press |
| Išleidimo metai | 2019 |
| Viršelio tipas | Minkšti viršeliai |
| EAN | 9786138839149 |