Morphological systems for character image processing and recognition

Yang, P; Maragos, P

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	https://dspace.lib.ntua.gr/xmlui/handle/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