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Implementation of an integrated classification approach of adaptive extreme learning machine and correlation based feature selection for odia complex characters

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Abstract

Handwritten character recognition is one of the most explored branch of optical Character Recognition in the field of research and development for the past many years by many researchers. Although it has gained its importance for its successful outcomes in innumerable applications in recognition system but as a part of our research we have represented a handwritten character recognition for Odia complex alphabets. The proposed method is implemented over 3168 complex Odia characters. Feature selection is a leading principle which is an integral part of OCR in handling the prominent features from the data sets associated with high number of variables as well as features. The rate of accuracy and the efficiency of classification phase depends on the implimenation of a productive feature selection algorithm. The correlation based feature selection algorithm is used in this paper to fulfil the purpose of feature selection method on the extracted features from complex letters. The proposed adaptive Extreme Learning Machine algorithm for single layer feed forward neural network is the fusion of ELM and evolutionary algorithm can able to achieve our objective by accelerating the spontaneous selection of the number of hidden layer neurons and achieving high classification accuracy. The anatomy of the experimental result analysis demonstrates that the above submitted algorithms are coherent for processing odia complex alphabets by yielding high classification accuracy .

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Authors and Affiliations

  1. Department of CSA, Utkal University, Bhubaneswar, India

    Sradhanjali Nayak & Sateesh Pradhan

  2. Department of ETC, IIIT, Bhubaneswar, India

    Pradyut Kumar Biswal

  3. Department of CSA, Ravenshaw University, Cuttack, India

    Om Prakash Jena

Authors
  1. Sradhanjali Nayak
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  2. Pradyut Kumar Biswal
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  3. Sateesh Pradhan
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  4. Om Prakash Jena
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Correspondence to Pradyut Kumar Biswal.

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Nayak, S., Biswal, P.K., Pradhan, S. et al. Implementation of an integrated classification approach of adaptive extreme learning machine and correlation based feature selection for odia complex characters. Int. j. inf. tecnol. 14, 3739–3749 (2022). https://doi.org/10.1007/s41870-022-01008-6

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  • DOI: https://doi.org/10.1007/s41870-022-01008-6

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