Abstract
The signature verification is one of the major and general purposes frequently used approach for person’s verification among all the other existing and known biometric-based verification methods. This brought the attention to the development of an automatic signature verification system. In this paper, an off-line signature verification and recognition system based on tree and grid by adopting a feature extraction novel approach such as pixels in tree, eccentricity, and center was used. The problem of using a trained dataset in order to perform the verification was overcome by using only one genuine and test signature at the run time. Decision of the result which was based on authenticity and governed by the maximum correct feature favor, acceptance, and rejection is based on its majority. The usefulness of the proposed approach was acknowledged by the use of experimental results.
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Shukla, A.K., Kanungo, S. (2018). Personal Verification Using Off-line Signature with Tree-based Features. In: Perez, G., Mishra, K., Tiwari, S., Trivedi, M. (eds) Networking Communication and Data Knowledge Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 4. Springer, Singapore. https://doi.org/10.1007/978-981-10-4600-1_19
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DOI: https://doi.org/10.1007/978-981-10-4600-1_19
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