The Effect of Image Alterations on Identification Using Palmar Flexion Creases. Issue 6 (30th July 2013)

• Record Type: Journal Article
• Authors: Cook, Tom; Sutton, Raul; Buckley, Kevan
• Is Part Of: Journal of forensic sciences. Volume 58:Issue 6(2013)
• Page Start: 1495
• Page End: 1502
• Publication Date: 2013-07-30
• Subjects: forensic science -- personal identification -- palmprint -- flexion crease -- principal lines -- biometrics; Medical jurisprudence -- Periodicals; Forensic sciences -- Periodicals; Forensic Medicine -- Periodicals; Gerechtelijke geneeskunde; Gerechtelijke chemie; Gerechtelijke psychiatrie; 363.2505
• DOI: 10.1111/1556-4029.12249
• Languages: English
• ISSNs: 0022-1198

Abstract

Abstract: Palmprints are identified using matching of minutia points, which can be time consuming for fingerprint experts and in database searches. This article analyzes the operational characteristics of a palmar flexion crease (PFC) identification software tool, using a dataset of 10 replicates of 100 palms, where the user can label and match palmar line features. Results show that 100 palmprint images modified 10 times each using rotation, translation, and additive noise, mimicking some of the characteristics found in crime scene palmar marks, can be identified with a 99.2% genuine acceptance rate and 0% false acceptance rate when labeled within 3.5 mm of the PFC. Partial palmprint images can also be identified using the same method to filter the dataset prior to traditional matching, while maintaining an effective genuine acceptance rate. The work shows that identification using PFCs can improve palmprint identification through integration with existing systems, and through dedicated palmprint identification applications.