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ICDAR
2005
IEEE

Word Separation of Unconstrained Handwritten Text Lines in PCR Forms

9 years 5 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 of the environment in which the reports are created, giving rise to low quality, poorly written, loosely constrained data. Stroke analyses are performed and image primitives are extracted for word detection. A heuristics-based approach, involving gap spacing, height transitions, and the average stroke width of the writer is used in detecting word boundaries. Carbon copies of live PCRs are used for testing. Experiments show perfect segmentation of 69%, outperforming the more tested and proven algorithms by as much as 15%.
Ifeoma Nwogu, Gyeonghwan Kim
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICDAR
Authors Ifeoma Nwogu, Gyeonghwan Kim
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