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Hindi Journal of Computer Engineering & Information TechnologyISSN : 2324-9307
Sagar Shinde Author
Subjects of specialization
Affiliation
Finite Element Analysis, Mechanical Properties, Design Engineering, Finite Element Modeling
Assistant Professor, Udaipur and JSPM, Narhe Technical Campus, Savitribai Phule Pune University, Maharashtra, India
Biography
Sagar Shinde is an Assistant Professor at Udaipur and JSPM Narhe Technical Campus from Savitribai Phule Pune University, Maharashtra, India. Sagar Shinde research interest are Math symbols and equations, Hybrid feature, Back propagation neural network, Adaptive learning, 2-D layout, Throughput; Accuracy.
Publications
Research Article Subscription
Back Propagation Neural Network (BPNN) Based Recognition Of Handwritten Mathematical Equations
Author(s): Sagar Shinde and Rajendra Waghulade
The recognition of handwritten mathematical symbols and equations are the critical and challenging issue in the field of pattern recognition. It is the need to recognize complicated handwritten mathematical equations viz. law of gravity, convolution integral etc. The issues like overwriting of symbols, characters etc. are identified and solved it by selecting best classifier to improve recognition rate. The machine learning approach with enhanced multi layer precentor feed forward back propagation neural network algorithm with an offline mode of recognition has been used to improve throughput, accuracy and overall efficiency of mathematical equations recognition. The hybrid features extracted viz. centroid, boundary box, zoning density, line segment etc. and... view more»
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