Publication: Palm’s lines detection and automatic palmistry prediction system
Issued Date
2018-01-01
Resource Type
ISSN
21945357
Other identifier(s)
2-s2.0-85044435327
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Mahidol University
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SCOPUS
Bibliographic Citation
Advances in Intelligent Systems and Computing. Vol.684, (2018), 208-222
Suggested Citation
Tanasanee Phienthrakul Palm’s lines detection and automatic palmistry prediction system. Advances in Intelligent Systems and Computing. Vol.684, (2018), 208-222. doi:10.1007/978-3-319-70016-8_18 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/45667
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Title
Palm’s lines detection and automatic palmistry prediction system
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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.