A multi-factor knuckle and nail bed verification tool for forensic imagery analysis

• Published in: Child abuse & neglect Vol. 154; p. 106910
• Main Authors: Santopietro, Marco, Guest, Richard, Seigfried-Spellar, Kathryn C., Elliott, Stephen J.
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.08.2024
• Subjects: Biometric identification; Biometric Identification - methods; Child; Child Abuse, Sexual; Criminals - psychology; Female; Forensic investigative tool; Forensic Sciences - methods; Hand; Hands; Hong Kong; Humans; Image Processing, Computer-Assisted - methods; Knuckles; Machine Learning; Male; Nails; Online child sexual exploitation; Photography - methods; Reproducibility of Results; Hong Kong; Hands; Knuckles; Biometric identification; Online child sexual exploitation; Forensic investigative tool

The grooming process involves sexually explicit images or videos sent by the offender to the minor. Although offenders may try to conceal their identity, these sexts often include hand, knuckle, and nail bed imagery. We present a novel biometric hand verification tool designed to identify online chi...