TY - JOUR
TI - Mapowanie żył w badaniach kryminalistycznych – przegląd literatury
AU - Badhwar, Neha
AU - Mukaddas, Khadija Murtala
AU - Neogi, Vhagyashree
AU - Swapna, Ameesha
AU - Fomba, Bill Fallah
TI - Mapowanie żył w badaniach kryminalistycznych – przegląd literatury
AB - Vein mapping can be used to identify possible suspects using matching learning algorithms. Since vasculature deep in the skin cannot be visualized by naked eyes, the features extracted usually by converting to near infrared images which gives best track recovery with little noise. Two decades, ago the premise for the use of vein patterns for identification emerged in the forensic field. Researchers are proposing innovative approaches and methods utilized to improve the recognition, quality, classification, and extraction of viable vein patterns from images. Deep learning algorithms such as convolution neural network (CNN ), K-nearest network, autoencoders are being used to extract venous features with ease especially when analyzing image forensic evidence. This paper provides an overview of recently proposed finger vein, dorsal hand vein, wrist vein and hybrid systems and highlights their performance and real-life application.
VL - 2024
IS - 139
PY - 2024
SN - 1230-7483
C1 - 2720-5983
SP - 227
EP - 244
DO - 10.4467/12307483PFS.24.016.20915
UR - https://ejournals.eu/czasopismo/problems-of-forensic-sciences/artykul/direction-of-vein-mapping-in-forensic-identification-a-comprehensive-review