Improving handwritten digit recognition using hybrid feature selection algorithm

HIGHLIGHTS

• who: Handwritten and colleagues from the Department of Physical and Mathematical Science, Universiti Tunku Abdul Rahman-Kampus Perak, Kampar, Malaysia have published the research: Improving handwritten digit recognition using hybrid feature selection algorithm, in the Journal: (JOURNAL)
• what: A hybrid method was proposed and tested on the 4-9 and 6-8 binary classification.
• how: The result showed that the hybrid mRMR - support vector machine recursive feature elimination (SVMRFE) is better than both the sole support vector machine (SVM) and mRMR. The algorithm trains the model using every feature meanwhile the contribution of . . .
  

   

  

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