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Handwritten Character Recognition Using Block wise Segmentation Technique (BST) in Neural Network 47th Annual Convention of the Computer Society of India.

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Presentation on theme: "Handwritten Character Recognition Using Block wise Segmentation Technique (BST) in Neural Network 47th Annual Convention of the Computer Society of India."— Presentation transcript:

1 Handwritten Character Recognition Using Block wise Segmentation Technique (BST) in Neural Network 47th Annual Convention of the Computer Society of India International Conference on Intelligent Infrastructure Science City Kolkata December 1-2, 2012 Presented By: Apash Roy, CSA, University of North Bengal mailaposh@gmail.com

2 Introduction Presented By: Apash Roy, CSA, University of North Bengal Broad area of application Still Now the task is in an ease of Interest

3 Biological Neuron Presented By: Apash Roy, CSA, University of North Bengal

4 Artificial Neural Network Presented By: Apash Roy, CSA, University of North Bengal

5 Important properties of an Artificial Neural Network Network topology Encoding scheme Learning algorithm (Supervised and Unsupervised learning) Presented By: Apash Roy, CSA, University of North Bengal

6 Character Recognition Presented By: Apash Roy, CSA, University of North Bengal

7 Pre-Processing Apash Roy, CSA, University of North Bengal Hard Copy Image Scanner / camera /... Pre-processing Vector with Binary value

8 Pre-Processing... Apash Roy, CSA, University of North Bengal 0 0 0 0 1 1 1 0 0 0 0 0 0 1 1 0 1 1 0 0 0 0 1 1 0 0 1 1 0 0 0 0 1 1 0 1 1 1 1 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 1 0 0 0 1 0 1 0 1 1 1 1 1 1 0 0 0 1 Binary representation of ‘A’ in three different size.

9 Perceptron learning Apash Roy, CSA, University of North Bengal

10 Perceptron learning w ij (new) = w ij (old) + c(d i - y i )x i where, w ij : the connection weight from i th input element x i of X to the j th neuron of the network. d i and y i :the desired and actual output of j th neuron. c :the small positive constant representing the learning rate. Apash Roy, CSA, University of North Bengal

11 Block wise Segmentation Technique (BST) Presented By: Apash Roy, CSA, University of North Bengal

12 Training With BST Presented By: Apash Roy, CSA, University of North Bengal

13 Character recognition with BST Presented By: Apash Roy, CSA, University of North Bengal

14 Some Results Presented By: Apash Roy, CSA, University of North Bengal CharactersNo. of VariantsNo of successPercentage A55100% B5480% C55100% D5480% E55100%

15 Thank You Apash Roy Department of Computer Science and Application The university of North Bengal mailaposh@gmail.com Mob-09434495206 mailaposh@gmail.com Presented By: Apash Roy, CSA, University of North Bengal


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