Fingerprint Quality Assessment: Matching Performance and Image Quality
نویسندگان
چکیده
This article chiefly focuses on Fingerprint Quality Assessment (FQA) applied to the Automatic Fingerprint Identification System (AFIS). In our research work, different FQA solutions proposed so far are compared by using several quality metrics selected from the existing studies. The relationship between the quality metric and the matching performance is specifically analyzed via such a comparison and an extra discussion based on the sample utility. This study is achieved via an interoperability analysis by using two different matching tools. Experimental results represented by the global Equal Error Rate (EER) further reveal the constraint of the existing quality assessment solutions in predicting the matching performance. Experiments are performed via several public-known fingerprint databases.
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تاریخ انتشار 2016