Automated Book Reader for Persons with Blindness

  • Malek Adjouadi
  • Eddy Ruiz
  • Lu Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4061)


This research introduces a new automatic book reader for persons with blindness. The objective is to design a fully integrated system that is relatively fast and yet inexpensive and effective with a high reading accuracy. Through the use of two inexpensive light weight cameras, a book holder and using regular lighting of an office or a lab environment, this integrated system addresses through software development (a) the mathematical foundation of perspective distortion introduced by page curvature of an open book, and of barrel correction introduced by the inherent nature of image capture of the camera; (b) image preprocessing for finding lines and characters in a given image; and (c) the implementation of a fast neural network that takes as input the findings of step (b) and provides an audible read out through a speech synthesis engine.


Character Recognition Document Image Book Reader Neural Network Algorithm Lens Distortion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Malek Adjouadi
    • 1
  • Eddy Ruiz
    • 1
  • Lu Wang
    • 1
  1. 1.Center for Advanced Technology and Education, Electrical & Computer EngineeringFlorida International UniversityMiamiU.S.A.

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