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ICDAR
2003
IEEE
14 years 4 months ago
A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters
High accuracy character recognition techniques can provide useful information for segmentation-based handwritten word recognition systems. This research describes neural network-b...
Michael Blumenstein, Brijesh Verma, H. Basli
ICDAR
2003
IEEE
14 years 4 months ago
Word Segmentation of Handwritten Dates in Historical Documents by Combining Semantic A-Priori-Knowledge with Local Features
The recognition of script in historical documents requires suitable techniques in order to identify single words. Segmentation of lines and words is a challenging task because lin...
Markus Feldbach, Klaus D. Tönnies
ICDAR
2009
IEEE
13 years 8 months ago
A Novel Two Stage Evaluation Methodology for Word Segmentation Techniques
Word segmentation is a critical stage towards word and character recognition as well as word spotting and mainly concerns two basic aspects, distance computation and gap classific...
Georgios Louloudis, Nikolaos Stamatopoulos, Basili...
ICDAR
2005
IEEE
14 years 4 months ago
Word Separation of Unconstrained Handwritten Text Lines in PCR Forms
An approach for segmenting handwritten text in a Pre-Hospital Care Report (PCR) is presented. Segmentation of lines and words in a PCR is extremely challenging due to the nature o...
Ifeoma Nwogu, Gyeonghwan Kim