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OCR optical character recognition using neural networks

DOI

Objectives:

  • To develop a software tool that automatically recognizes numeric characters (0-9) designed using the hand (mouse pointer) by the users.

Outputs:

  • Software tool that provides a graphical user interface to design the numeric characters and to display the character recognized by the software tool. The software tool implements different architectures of neural networks (classifier and (associative memory + classifier)) with different activation functions profiles. The different architectures of the neural networks have been trained and tested with 50 (5x10) and 500 (5x100) samples of the numeric characteres.

  • The source code and documentation of the application is available here. A video demonstrating the software tool is presented next:

  • Demo video 01

alt text

  • Software tool developed by Ricardo Martins and João Duarte during the Adaptive Computing and Diffuse Systems course as Biomedical Engineering students (2007/2008)

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