Abstract
Pattern recognition algorithms are not robust compared to human vision. Our recognition systems seem to work like some impaired human cortex, showing agnosia defects. Robustness of human vision is probably the consequence of interaction and feedback of the multiple regions of the vision cortex. Recent results on binary images of handwritten cheques show the interest of approaches based upon multiple operator combinations and soft decisions, recalling the working of a human vision cortex.
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References
Cronley-Dillon J. R., general editor, “Vision and Visual Disfunction” a serie of 17 books published by The Macmillan Press Ltd. G.B.
Simon J.C. 1992, “Off-line cursive word recognition”, Proc. of the IEEE, vol. 80, N° 7, July 1992, pp.1150–1161.
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© 1994 Springer-Verlag Berlin Heidelberg
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Simon, J.C. (1994). On the Robustness of Recognition of Degraded Line Images. In: Impedovo, S. (eds) Fundamentals in Handwriting Recognition. NATO ASI Series, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78646-4_8
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DOI: https://doi.org/10.1007/978-3-642-78646-4_8
Publisher Name: Springer, Berlin, Heidelberg
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