Character Recognition : A Machine Intelligence Approach - Softcover

Kakde, Prashant Manohar; Raut, Vivek Ramkrishna

Softcover

ISBN 10: 365935810X ISBN 13: 9783659358104

Verlag: LAP LAMBERT Academic Publishing, 2013

Inhaltsangabe

Nowadays neural networks is playing a vital role in various fields and emerge as a important tool in predictions and classification.The book contains introductory neural network technique for recognition of handwritten characters. Handwritten character recognition is one of the most active areas of research. Developing a handwritten Devnagri character recognition system is a big challenge due to high variability of writing styles. This book is a novel approach in recognition of handwritten Devnagri characters and analysis of various suitable performance measures. The character recognition and performance measures analysis is done by using neural network tool box in MATLAB. It will be helpful to researchers working in this area to develop appropriate methodology. The book also throws light on performance evaluation of the existing algorithms on pattern recognition.The contents of the book include 1.Neural Networks in Pattern Recognition 2.Handwritten Character Recognition 3.Segmentation 4.Feature Extraction 5.Classification 6.Back Propagation Network 7.Scaled Conjugate Gradient Algorithm 8.Levenberg-Marquardt Algorith

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Über die Autorin bzw. den Autor

Prashant M Kakde,B.E(Instrumentation),M.E(Digital Electronics)Presently he is working as Asstt.Prof.in Department of Electronics and Telecommunication Engg,at H.V.P.M's college of Engg.& Tech.Amravati(India).He has a teaching experience of 12 years his areas of interest are neural networks,digital image processing etc.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2013
• Sprache: Englisch
• ISBN 10: 365935810X
• ISBN 13: 9783659358104
• Einband: Taschenbuch
• Anzahl der Seiten: 100
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: SIA OmniScriptum Publishing; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland