Three-stage Handwriting Stroke Extraction Method with Hidden Loop Recovery
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Stroke-Morphology Analysis Using Super-Imposed Writing Movements
IWCF '08 Proceedings of the 2nd international workshop on Computational Forensics
Techniques for static handwriting trajectory recovery: a survey
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
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One significant challenge in the recognition of offline handwriting is in the interpretation of loopstructures. Although this information is readily available in online representation, close proximity of strokes often merges their centers making them difficult to identify. In this paper a novel approach to the recovery of hidden loops in offline scanned document images is presented.The proposed algorithm seeks blobs that resemble truncated ellipses. We use a sophisticated form analysis method based on mutual distance measurements between the two sides of a symmetric shape. The experimental results are compared with the ground truth of the onlinerepresentations of each offline word image. More than 86% percent of the meaningful loops are handled correctly.