Offline Handwritten Devanagari Numeral Recognition Using Artificial Neural Network
نویسندگان
چکیده
منابع مشابه
Offline Handwritten Devanagari Script Recognition
Handwritten Devanagari script recognition system using neural network is presented in this paper. Diagonal based feature extraction is used for extracting features of the handwritten Devanagari script. After that these feature of each character image is converted into chromosome bit string of length 378. More than 1000 sample is used for training and testing purpose in this proposed work. It is...
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متن کاملHandwritten Devanagari Numeral Recognition using Structural and statistical features
Handwritten Devanagari Numeral Recognition using Structural and Statistical Features 1 Madhav Goyal, 2 Naresh Kumar Garg 1 Department of Computer Science & Engg, Guru Ram Dass Institute of Engg. & Technology, Bathinda, Punjab, India 2 Department of Computer Science & Engg, GZSPTU Campus, Bathinda, Punjab, India ____________________________________________________________________________________...
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Handwritten Word Recognition is an important problem of Pattern Recognition. Online handwritten recognition system for Devanagari words is still in developing stage and becoming challenging due to the large complexity involvement. In India, more than 300 million people use Devanagari script for documentation. There has been a significant improvement in the research related to the recognition of...
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ژورنال
عنوان ژورنال: International Journal of Advanced Research in Computer Science and Software Engineering
سال: 2016
ISSN: 2277-128X,2277-6451
DOI: 10.23956/ijarcsse.v7i8.27