Handwritten Digit Recognition by Elastic Matching - Volume 13 Number 9 (Sep. 2018) - JCOMPUTERS
Volume 13 Number 9 (Sep. 2018)
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JCP 2018 Vol.13(9): 1067-1074 ISSN: 1796-203X
doi: 10.17706/jcp.13.9.1067-1074

Handwritten Digit Recognition by Elastic Matching

Sagnik Majumder1, C. von der Malsburg2, Aashish Richhariya1, Surekha Bhanot1
1Electrical and Electronics Engineering Department, Birla Institute of Technology and Science, Pilani, Rajasthan, India.
2Frankfurt Institute for Advanced Studies, Frankfurt, Germany.

Abstract—A simple model of MNIST handwritten digit recognition is presented here. The model is an adaptation of a previous theory of face recognition. It realizes translation and rotation invariance in a principled way instead of being based on extensive learning from large masses of sample data. The presented recognition rates fall short of other publications, but due to its inspectability and conceptual and numerical simplicity, our system commends itself as a basis for further development.

Index Terms—Dynamic links, elastic graph matching, gabor jets, shift/rotation/deformation invariance.

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Cite: Sagnik Majumder, C. von der Malsburg, Aashish Richhariya, Surekha Bhanot, "标题," Journal of Computers vol. 13, no. 9, pp. 1067-1074, 2018.

General Information

ISSN: 1796-203X
Frequency: Monthly (2006-2014); Bimonthly (Since 2015)
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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