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      A study of neural network and multi-channel handwritten isolated digit recognition

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      EEE-THESES_1833.pdf (11.86Mb)
      Author
      Zhao, Wei.
      Date of Issue
      2000
      School
      School of Electrical and Electronic Engineering
      Abstract
      Recognition of handwritten digits/characters is an important and necessary step in many documents processing application and this has been a popular topic of research for many years. Many approaches and significant research efforts have been proposed and made to solve this problem. Some use only the pixel-image as input to a powerful statistical or neural classifier. Others preprocess the data in order to extract some features that are fed into a classifier. The main difficulty lie in the handwritten recognition task is to tell which digit is represented by a pixel-image of a handwritten digits/character, this is due to the high variability of the scanned image caused by the particular writing style of different persons and also the scanning quality.
      Subject
      DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
      Type
      Thesis
      Rights
      Nanyang Technological University
      Collections
      • EEE Theses

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