Integrated Feature Exploration for Handwritten Devanagari Numeral Recognition

  • Shraddha Arya
  • Indu Chhabra
  • G. S. Lehal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 703)


In this paper, the statistical feature extraction techniques are explored, incrementally combined using different methods and analyzed for the recognition of isolated offline handwritten Devanagari numerals. The techniques selected are zoning, directional distance distribution, Zernike moments, discrete cosine transform, and Gabor filter that encapsulate the mutually exclusive statistical features like average pixel densities, directional distribution, orthogonal invariant moments, elementary frequency components, and space frequency component, respectively. The standard benchmark handwritten Devanagari numeral database provided by ISI, Kolkata, is used for the experimentation and 1-nearest neighbor and support vector machine for classification. The accuracy achieved with individual feature extraction techniques ranges from 86.87% to 98.96%. Further, features are integrated with methods like feature concatenation, majority voting, and a new proposed methodology by us named winners pooling. The maximum recognition obtained through feature integration is 99.14%.


Handwritten Devanagari recognition Zoning Directional distance distribution Zernike moments Discrete cosine transform Gabor filter 



The authors would like to thank CVPR unit, ISI, Kolkata for providing us the handwritten database of Devnagari Numerals for experimentation purpose. In this work, the first author is funded under the UGC Fellowship given to college teachers for completion of Ph. D. and express gratitude for the same.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer ScienceSri Guru Gobind Singh CollegeChandigarhIndia
  2. 2.Department of Computer Science and ApplicationsPanjab UniversityChandigarhIndia
  3. 3.Computer Science DepartmentPunjabi UniversityPatialaIndia

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