Abstract
This work presents a locking and deforming process to accomplish the recognition. The best matched features of the template are locked to their target features of the unknown pattern. The whole template is then deformed and calibrated according to these features. Improved similarity score can be obtained from the deformed template. This work illustrates this process and its operations. This process indirectly overcomes difficult distortion problems.
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Liou, DR., Chen, YE., Liou, CY. (2019). Matching Topological Structures for Handwritten Character Recognition. In: Nguyen, N., Gaol, F., Hong, TP., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2019. Lecture Notes in Computer Science(), vol 11431. Springer, Cham. https://doi.org/10.1007/978-3-030-14799-0_49
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