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Published on: October 27, 2015
Ridgecounter: a program for obtaining semi-automated finger ridge counts
Sarah E Medland1, Daniel A Park, Danuta Z Loesch
1Genetic Epidemiology Unit, Queensland Institute of Medical Research, Brisbane, Australia. sarahMe@qimr.edu.au
Annals of Human Biology
|July 11, 2007
Summary
RIDGECOUNTER is a new software for semi-automated fingerprint ridge counting, reducing labor and errors. This tool ensures repeatable and accurate ridge counts, valuable for anthropological and biological research.
Area of Science:
- Forensic Science
- Anthropology
- Biometrics
Background:
- Finger ridge count is a key quantitative phenotype in biological and anthropological studies.
- Manual ridge counting is labor-intensive and prone to errors, impacting research accuracy and efficiency.
Purpose of the Study:
- To introduce RIDGECOUNTER, a freely available software for semi-automated ridge counting from digitized prints.
- To assess the validity and reliability of RIDGECOUNTER compared to traditional manual methods.
Main Methods:
- Digitized fingerprint images (from scanners or scans) were processed using RIDGECOUNTER.
- The software semi-automates ridge counts by logging user-selected core and delta points.
- Validity and reliability were tested using 451 and 200 prints, respectively, with comparisons to manual counts.
Main Results:
- Semi-automated ridge counts from RIDGECOUNTER showed high agreement with manual counts (validity study: r = 0.957).
- The software demonstrated excellent reliability in repeated measurements over time (reliability study: r = 0.962).
- RIDGECOUNTER is adaptable for palm, foot, or toe prints.
Conclusions:
- RIDGECOUNTER offers a valid and reliable method for semi-automated ridge counting, improving upon traditional manual techniques.
- The software enhances efficiency, repeatability, and aids in researcher training for fingerprint analysis.
- Its applicability extends beyond fingerprints to other biometric data.
