Publication:
Palm’s lines detection and automatic palmistry prediction system

dc.contributor.authorTanasanee Phienthrakulen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2019-08-23T10:58:34Z
dc.date.available2019-08-23T10:58:34Z
dc.date.issued2018-01-01en_US
dc.description.abstract© Springer International Publishing AG 2018. This paper presents a method for palm and palm’s lines detection based on image processing techniques. An application of the proposed method is illustrated in the automatic palmistry system. Both hardware and software are created and tested. The system can detect palm and three main lines, i.e., life line, heart line, and brain line. Line’s position, line’s length, and line’s curvature are used for palmistry prediction. These three lines will be compared to the lines in the line pattern archives by using the nearest neighbor method. The experimental results show that this system can detect palm and palm’s lines and this system yields the suitable results on many examples. Furthermore, the concept of this system can be applied to identification and authentication in security approaches or in the embedded system fields.en_US
dc.identifier.citationAdvances in Intelligent Systems and Computing. Vol.684, (2018), 208-222en_US
dc.identifier.doi10.1007/978-3-319-70016-8_18en_US
dc.identifier.issn21945357en_US
dc.identifier.other2-s2.0-85044435327en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/45667
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85044435327&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titlePalm’s lines detection and automatic palmistry prediction systemen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85044435327&origin=inwarden_US

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