Title :
Analysis of slap segmentation and HBSI errors across different force levels
Author :
Wamsley, Adam ; Elliott, Stephen ; Dunkelberger, Carl ; Mershon, Mitch
Author_Institution :
Dept. of Technol., Leadership & Innovation, Purdue Univ., West Lafayette, IN, USA
Abstract :
In a recent study, fingerprint data was collected across six different force levels. A total of 8,877 slap samples were ground truthed, and subsequently processed using a commercially available fingerprint segmentation tool. This paper delves deeper into understanding segmentation errors across the force levels. Out of the 8,877 slaps, 370 slaps failed to segment. In order to understand why there were errors, a detailed analysis was undertaken by ground-truthing the slap and segmented datasets. In addition to the ground-truthing, video analysis of the interactions enabled specific failures to be replayed and identified as performance or ergonomic, interaction, and usability (Human Biometric Sensor Interaction) errors. This paper will identify determining factors that would cause the slap segmentation tool to error, and provide guidance to those undertaking data collection activities where they would need to the use a segmentation tool.
Keywords :
ergonomics; fingerprint identification; image segmentation; HBSI error; ergonomic error; fingerprint data; fingerprint segmentation; force level; human biometric sensor interaction; interaction error; segmentation error; slap segmentation analysis; usability error; video analysis; Encoding; Fingerprint recognition; Force; Humans; Image segmentation; Thumb; Fingerprint recognition; biometrics; image quality; law enforcement;
Conference_Titel :
Security Technology (ICCST), 2011 IEEE International Carnahan Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4577-0902-9
DOI :
10.1109/CCST.2011.6095939