Publication:
Thai Handwritten Verification System on Documents for the Investigation

dc.contributor.authorNarit Hnoohomen_US
dc.contributor.authorNarumol Chumuangen_US
dc.contributor.authorMahasak Ketchamen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherKing Mongkut's University of Technology North Bangkoken_US
dc.date.accessioned2018-12-11T02:40:20Z
dc.date.accessioned2019-03-14T08:04:34Z
dc.date.available2018-12-11T02:40:20Z
dc.date.available2019-03-14T08:04:34Z
dc.date.issued2016-02-05en_US
dc.description.abstract© 2015 IEEE. Forensic biology is the application of biology to law enforcement. Handwriting behavior is one of the biometrics that can be used to identify those who are ownership. This paper proposes an algorithm for Thai handwritten verification on documents. This work intended to prove the handwriting in the investigation. The main issue presented in this paper is divided into three processes including data preparation, classification and results. Consequential, two steps of neuron network algorithm are used to resolve in classification with high accuracy. Then, the models of handwriting are created. Finally, we define criterion to compare between unknown handwritten with our model. The result shows height accuracy 90.00%.en_US
dc.identifier.citationProceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015. (2016), 617-622en_US
dc.identifier.doi10.1109/SITIS.2015.70en_US
dc.identifier.other2-s2.0-84966277455en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/43505
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84966277455&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleThai Handwritten Verification System on Documents for the Investigationen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84966277455&origin=inwarden_US

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