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Open AccessArticle

Two-Level Evaluation on Sensor Interoperability of Features in Fingerprint Image Segmentation

School of Computer Science and Technology, Shandong University, Jinan 250101, Shandong, China
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Sensors 2012, 12(3), 3186-3199; https://doi.org/10.3390/s120303186
Received: 9 February 2012 / Revised: 22 February 2012 / Accepted: 22 February 2012 / Published: 7 March 2012
(This article belongs to the Special Issue Hand-Based Biometrics Sensors and Systems)
Features used in fingerprint segmentation significantly affect the segmentation performance. Various features exhibit different discriminating abilities on fingerprint images derived from different sensors. One feature which has better discriminating ability on images derived from a certain sensor may not adapt to segment images derived from other sensors. This degrades the segmentation performance. This paper empirically analyzes the sensor interoperability problem of segmentation feature, which refers to the feature’s ability to adapt to the raw fingerprints captured by different sensors. To address this issue, this paper presents a two-level feature evaluation method, including the first level feature evaluation based on segmentation error rate and the second level feature evaluation based on decision tree. The proposed method is performed on a number of fingerprint databases which are obtained from various sensors. Experimental results show that the proposed method can effectively evaluate the sensor interoperability of features, and the features with good evaluation results acquire better segmentation accuracies of images originating from different sensors. View Full-Text
Keywords: fingerprint segmentation; feature evaluation; sensor interoperability; segmentation error rate; decision tree fingerprint segmentation; feature evaluation; sensor interoperability; segmentation error rate; decision tree
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Yang, G.; Li, Y.; Yin, Y.; Li, Y.-S. Two-Level Evaluation on Sensor Interoperability of Features in Fingerprint Image Segmentation. Sensors 2012, 12, 3186-3199.

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