Analysis of hair color and texture for forensic examinations
Author:
Affiliation:
1. Chemistry Department University of Central Florida Orlando FL USA
2. National Center for Forensic Science University of Central Florida Orlando FL USA
Publisher
Wiley
Subject
Genetics,Pathology and Forensic Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/1556-4029.14640
Reference23 articles.
1. An expert system based on Wavelet Neural Network-Adaptive Norm Entropy for scale invariant texture classification
2. Hair-MAP: a prototype automated system for forensic hair comparison and analysis
3. HsuS.FBI admits flaws in hair analysis over decades. The Washington Post.2015.https://www.washingtonpost.com/local/crime/fbi‐overstated‐forensic‐hair‐matches‐in‐nearly‐all‐criminal‐trials‐for‐decades/2015/04/18/39c8d8c6‐e515‐11e4‐b510‐962fcfabc310_story.html. Accessed 5 Nov 2020.
4. Procedural bias in forensic science examinations of human hair.
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1. Differentiation and classification of human head hair via spectroscopic analysis, data fusion, and neural networks;Microchemical Journal;2024-09
2. The application of statistical and novel unsupervised machine learning methodology to forensic hair analysis;Australian Journal of Forensic Sciences;2024-04-22
3. Morphological and chemical profiling for forensic hair examination: A review of quantitative methods;Forensic Science International;2023-05
4. Microscopic comparison of hairs treated with different commercial brands of henna;Materials Today: Proceedings;2022
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