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» Cursive Character Detection using Incremental Learning
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ICDAR
2005
IEEE
14 years 1 months ago
The Neural-based Segmentation of Cursive Words using Enhanced Heuristics
This paper presents an Enhanced Heuristic Segmenter (EHS) and an improved neural-based segmentation technique for segmenting cursive words and validating prospective segmentation ...
Chun Ki Cheng, Michael Blumenstein
IWANN
2001
Springer
14 years 3 days ago
Character Feature Extraction Using Polygonal Projection Sweep (Contour Detection)
It is presented in this paper a new approach to the problem of feature extraction. The approach is based on the edge detection, where a set of feature vectors is taken from the sou...
Roberto J. Rodrigues, Gizelle Kupac Vianna, Antoni...
ICDAR
2005
IEEE
14 years 1 months ago
Text Recognition of Low-resolution Document Images
Cheap and versatile cameras make it possible to easily and quickly capture a wide variety of documents. However, low resolution cameras present a challenge to OCR because it is vi...
Charles E. Jacobs, Patrice Y. Simard, Paul A. Viol...
AUSAI
2008
Springer
13 years 9 months ago
Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
John Thornton, Jolon Faichney, Michael Blumenstein...
ICDAR
2009
IEEE
13 years 5 months ago
Learning on the Fly: Font-Free Approaches to Difficult OCR Problems
Despite ubiquitous claims that optical character recognition (OCR) is a "solved problem," many categories of documents continue to break modern OCR software such as docu...
Andrew Kae, Erik G. Learned-Miller