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Digit Classification Based on Mechanisms Used by Human Brain

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Frontiers in Intelligent Computing: Theory and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1014))

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Abstract

One of the obvious differences between present machine learning and performance of human brain lies in the number labelled data that needs to be provided to the model for classification. The ultimate target of machine learning algorithms should be to learn from very few examples as demonstrated by human brain. The work presents an instance of reducing sample complexity in handwritten digit classification using the concept followed in object recognition with reduced training set by humans. The characteristics of selectivity and invariance to transformations in visual cortex lead to a feature representation which can learn from few examples. The same has been implemented for digit classification, and promising results are obtained which can be extended to variety of object classification/recognition tasks involving images, strings, documents, etc.

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Author information

Authors and Affiliations

  1. Department of Computer Science Engineering, Jain University, Bengaluru, India

    A. K. Thushar

  2. Department of Computer Applications, JSS Science and Technology University, Mysuru, India

    V. N. Manjunath Aradhya

Authors
  1. A. K. Thushar
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  2. V. N. Manjunath Aradhya
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Corresponding author

Correspondence to V. N. Manjunath Aradhya .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of Electronics and Communication Engineering, SRMGPC, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Duy Tan University, Da Nang, Vietnam

    Bao Le Nguyen

  4. Graduate School, Duy Tan University, Da Nang, Vietnam

    Nhu Gia Nguyen

  5. Faculty of Information Technology, Hai Phong University, Hai Phong, Vietnam

    Dac-Nhuong Le

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Thushar, A.K., Aradhya, V.N.M. (2020). Digit Classification Based on Mechanisms Used by Human Brain. In: Satapathy, S., Bhateja, V., Nguyen, B., Nguyen, N., Le, DN. (eds) Frontiers in Intelligent Computing: Theory and Applications. Advances in Intelligent Systems and Computing, vol 1014. Springer, Singapore. https://doi.org/10.1007/978-981-13-9920-6_29

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