Abstract
The Handwrite verification is the technique of distinguishing the same person’s specimen of handwriting from imitations with any two of more handwritten texts using one’s handwritten individuality. The handwrite verification technique is used for distinguishing of ghostwriting and handwritten text or signature verification, criminal identification of handwritten text or signature. This work is subject to a loss of objectivity, may consume too much time to obtain verification, and involves the processing costs of a verification advisor. To solve these problems, we suggest the solution listed above, and automation of the analysis of similarity of texts using a computer pattern analysis. Primal processes of the system which are suggested in this paper are abstraction of letter area, abstraction of feature, study of feature, analysis of studied feature, abstraction of a contrast sample, detection of similarity between two characters, deduction of analyzed results and so forth. It is expected that the system suggested will be widely applicable, and is expected to generate great interest because it will enable both short and long patterns such as signatures and handwriting samples to be processed at the same time.
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Kim, SH., Oh, KS., Choi, HI. (2007). Off-Line Verification System of the Handwrite Signature or Text, Using a Dynamic Programming. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4705. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74472-6_83
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DOI: https://doi.org/10.1007/978-3-540-74472-6_83
Publisher Name: Springer, Berlin, Heidelberg
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