Pattern Recognition using Modified Compression Algorithm with Mexican Hat (MCAMH)

Authors

  • Upadhyay R Dept. of Computer Science and Application University of North Bengal, Dist: Darjeeling West Bengal, Pin-734013, INDIA
  • Biswas P Dept. of Computer Science and Application University of North Bengal, Dist: Darjeeling West Bengal, Pin-734013, INDIA
  • Poddar PP Dept. of Computer Science and Application University of North Bengal, Dist: Darjeeling West Bengal, Pin-734013, INDIA
  • Mandal RK Dept. of Computer Science and Application University of North Bengal, Dist: Darjeeling West Bengal, Pin-734013, INDIA

Keywords:

ANN, MCAMH, Compression, Mexican Hat

Abstract

Making a machine understand and recognize a character is a challenge. This is also factored as many researchers have indulged in building worthy hardware and necessary software for character recognition. A well known tool to solve this problem is Artificial Neural Network (ANN). In this paper, Mexican Hat, a fixed-weight net, is used to improve the precision than the previous attempts which already have been introduced. Here 14 X 14 image matrices have been taken as input and then compressed into 7 X 7 matrices, reducing the elements which are of no or little significance. Mexican Hat is used to recognize the alphabet.

References

Hand Written English Character Recognition using Column-wise Segmentation of Image Matrix (CSIM), Rakesh Kumar Mandal and N R Manna.

Fundamentals of Neural Networks, Architectures, Algorithms and Applications, Laurene Fausett, Pearson Education

Rakesh Kumar Mandal and N R Manna, Hand Written English Character Recognition using Row-wise Segmentation Technique (RST), International Symposium on Devices MEMS, Intelligent Systems & Communication (ISDMISC) 2011, Proceedings published by International Journal of Computer Applications (IJCA).

Neural Networks, G.N. Swamy, G. Vijay Kumar, SCITECH

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Published

2015-02-28

How to Cite

[1]
R. Upadhyay, P. Biswas, P. P. Poddar, and R. K. Mandal, “Pattern Recognition using Modified Compression Algorithm with Mexican Hat (MCAMH)”, Int. J. Comp. Sci. Eng., vol. 3, no. 1, pp. 30–35, Feb. 2015.

Issue

Vol. 3 No. 1 (2015): IJCSE Special Issue February Edition

Section

Research Article

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