Morphological systems for character image processing and recognition

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dc.contributor.author Yang, P en
dc.contributor.author Maragos, P en
dc.date.accessioned 2014-03-01T02:48:10Z
dc.date.available 2014-03-01T02:48:10Z
dc.date.issued 1993 en
dc.identifier.uri http://hdl.handle.net/123456789/33594
dc.subject backpropagation en
dc.subject Feature Extraction en
dc.subject Image Analysis en
dc.subject Least Mean Square en
dc.subject lms algorithm en
dc.subject Pattern Classification en
dc.subject Speed of Convergence en
dc.subject Error Rate en
dc.subject Neural Network en
dc.title Morphological systems for character image processing and recognition en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICASSP.1993.319756 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICASSP.1993.319756 en
heal.publicationDate 1993 en
heal.abstract Min/max signal operations, common in morphological image analysis were applied to both feature extraction and classification of character images. A system is proposed that computes an improved version of the morphological shape-size histogram. It reduces sensitivity to stroke thickness, size, and rotation. For pattern classification, the class of min-max classifier, which generalizes Boolean DNF functions for real-valued inputs, is introduced. en
heal.journalName International Conference on Acoustics, Speech, and Signal Processing en
dc.identifier.doi 10.1109/ICASSP.1993.319756 en

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