Recognition of Meter Values

  • Sven Behnke
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2766)


The remainder of the thesis applies the proposed Neural Abstraction Pyramid to several computer vision tasks in order to investigate the performance of this approach.

This chapter deals with the recognition of postage meter values. A feed-forward Neural Abstraction Pyramid is trained in a supervised fashion to solve a pattern recognition task. The network classifies an entire digit block and thus does not need prior digit segmentation. If the block recognition is not confident enough, a second stage tries to recognize single digits, taking into account the block classifier output for a neighboring digit as context. The system is evaluated on a large database.


Hide Unit Foreground Pixel Recognition Failure Digit Recognition Feature Array 
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 2003

Authors and Affiliations

  • Sven Behnke

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