Research Article
Published: 13 December, 2023 | Volume 7 - Issue 1 | Pages: 077-082
This work describes a low computational cost image processing methodology for the identification of hand features for forensic applications – like height, gender, and ethnicity for suspect inference. The proposed methodology provides an adequately tailored sequence of image and geometrical processings on pictures of hands based on critical points like fingertips, finger valleys, and palm centers. As a result, we present the automatic measurements taken on 416 images compared with actual measurements from a manual caliper. The proposed approach leads to a 93.16% correlation (p - value < 0.05) related to the caliper, demonstrating the effectiveness of the technique.
Read Full Article HTML DOI: 10.29328/journal.jfsr.1001054 Cite this Article Read Full Article PDF
Anthropometry; Forensic science; Image processing
HSPI: We're glad you're here. Please click "create a new Query" if you are a new visitor to our website and need further information from us.
If you are already a member of our network and need to keep track of any developments regarding a question you have already submitted, click "take me to my Query."