Rajendra Waghulade Author

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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»

DOI: 10.4172/2324-9307.1000192

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