This book on Handwritten Gurumukhi Character Recognition describes Neural Network technique for recognition of handwritten Gurumukhi Characters. All techniques used for HGCR are descibed in detail. All images of characters i.e. after digitization, Preprocessing and segmentation are shown for better understanding. It also aims at exposing the students to use this technique for further research work for recognition of words in their native langauage. Salient Features: . Digitization Technique for converting Handwritten Characters into Digital Image. . Pre-processing Technique for removing noise from handwritten Characters. . Segmentation Techniques for dividing characters . Feature Extraction technique for resembling the characters . Testing of characters using Arificial Neural Networks . Training of characters
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This book on Handwritten Gurumukhi Character Recognition describes Neural Network technique for recognition of handwritten Gurumukhi Characters. All techniques used for HGCR are descibed in detail. All images of characters i.e. after digitization, Preprocessing and segmentation are shown for better understanding. It also aims at exposing the students to use this technique for further research work for recognition of words in their native langauage. Salient Features: . Digitization Technique for converting Handwritten Characters into Digital Image. . Pre-processing Technique for removing noise from handwritten Characters. . Segmentation Techniques for dividing characters . Feature Extraction technique for resembling the characters . Testing of characters using Arificial Neural Networks . Training of characters
Mr. Naveen Garg is Asst. Prof. in Amity University, India. He has received his Bachelor's degree(B.Tech.) in Information Technology from G.J.U.S.& T., Hisar(India) in 2007 and Master of engg. (M.E.) in Software engineering from Thapar University, Patiala(India). He has published more than 20 research papers in International Journals & conferences.
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Taschenbuch. Zustand: Neu. Neuware -This book on Handwritten Gurumukhi Character Recognition describes Neural Network technique for recognition of handwritten Gurumukhi Characters. All techniques used for HGCR are descibed in detail. All images of characters i.e. after digitization, Preprocessing and segmentation are shown for better understanding. It also aims at exposing the students to use this technique for further research work for recognition of words in their native langauage. Salient Features: . Digitization Technique for converting Handwritten Characters into Digital Image. . Pre-processing Technique for removing noise from handwritten Characters. . Segmentation Techniques for dividing characters . Feature Extraction technique for resembling the characters . Testing of characters using Arificial Neural Networks . Training of charactersBooks on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. Artikel-Nr. 9783846509043
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