Paper
9 April 1993 Detecting and eliminating false strokes in skeletons by geometric analysis
Si Wei Lu, He Xu, Cao An Wang
Author Affiliations +
Proceedings Volume 1832, Vision Geometry; (1993) https://doi.org/10.1117/12.142180
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
Skeletonization is a process by which a binary pattern of a character is transformed into another binary pattern consisting of its skeleton in order to reduce and extract information for further transmission or recognition. It is very important to preserve the shape of the original pre-thinned pattern in order to keep the necessary information for further processing. However, skeletonizing transformation generally results in distorted representation of the original pattern, and usually affects the possibility of correct recognition in the corresponding character. In this paper, a systematical algorithm is applied to detect and correct the distorted part of the skeleton by geometrical analysis. Hence, a more accurate stroke segmentation can be achieved to tell how the lines (strokes) cross (overlap) each other. Our method significantly reduces the rejection rate and substitution rate for character recognition.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Si Wei Lu, He Xu, and Cao An Wang "Detecting and eliminating false strokes in skeletons by geometric analysis", Proc. SPIE 1832, Vision Geometry, (9 April 1993); https://doi.org/10.1117/12.142180
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Vision geometry

Silicon

Optical character recognition

Binary data

Detection and tracking algorithms

Data processing

Distance measurement

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