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Distribution of the Minutiae in Hypothenar Palm Prints in Slovak Adults: Indications for Personal Identification
- Source :
- Journal of Forensic Sciences. 65:1303-1309
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- Minutiae are small distinguishing features found along every ridge flow, which make each friction ridge print unique. The most common friction ridge prints found at the crime scene are fingerprints; therefore, the most of the minutiae studies are focused exactly on this kind of prints. The authors believe that further examination and enlargement of the palm print database could result in better use of the palm prints for personal identification. We analyzed a total of 160 palm prints from 40 females and 40 males aged between 18 and 70 years from Slovakia. For the evaluation of the minutiae, the area of the hypothenar had to be marked out. The classification of the minutiae used for this study was based on a modified version of the classification system using the total of 13 types of minutiae. The frequency of every minutiae type was calculated and, using the chi-square test with Yates's correction, bilateral and sex differences were assessed. The relationship between the different types of minutiae was examined with Pearson's correlation test. During the initial phases of the identification process, the focus should be on the least common types of minutiae (Y or M and return), which were found not to correlate; thus, their mutual occurrence is random (e.g., overlap-Y or M, crossbar-return, or Y or M-dock). The results of the present study show which specific minutiae types are the most suitable for personal identification. These findings may be beneficial in more effective outcome of the identification process.
- Subjects :
- Adult
Male
Slovakia
Palm print
Adolescent
Computer science
Pathology and Forensic Medicine
Young Adult
Genetics
Humans
Crime scene
Dermatoglyphics
Correlation test
Aged
Minutiae
Sex Characteristics
business.industry
Forensic anthropology
Pattern recognition
Middle Aged
Hand
Identification (information)
Female
Artificial intelligence
business
Palm
Subjects
Details
- ISSN :
- 15564029 and 00221198
- Volume :
- 65
- Database :
- OpenAIRE
- Journal :
- Journal of Forensic Sciences
- Accession number :
- edsair.doi.dedup.....778cffdb5f32b2fa9cb06c4e83222a1b