{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T22:47:53Z","timestamp":1773355673125,"version":"3.50.1"},"reference-count":21,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2010,8,26]],"date-time":"2010-08-26T00:00:00Z","timestamp":1282780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Recognizing the quality of fingerprints in advance can be beneficial for improving the performance of fingerprint recognition systems. The representative features to assess the quality of fingerprint images from different types of capture sensors are known to vary. In this paper, an effective quality estimation system that can be adapted for different types of capture sensors is designed by modifying and combining a set of features including orientation certainty, local orientation quality and consistency. The proposed system extracts basic features, and generates next level features which are applicable for various types of capture sensors. The system then uses the Support Vector Machine (SVM) classifier to determine whether or not an image should be accepted as input to the recognition system. The experimental results show that the proposed method can perform better than previous methods in terms of accuracy. In the meanwhile, the proposed method has an ability to eliminate residue images from the optical and capacitive sensors, and the coarse images from thermal sensors.<\/jats:p>","DOI":"10.3390\/s100907896","type":"journal-article","created":{"date-parts":[[2010,8,26]],"date-time":"2010-08-26T11:20:09Z","timestamp":1282821609000},"page":"7896-7912","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Effective Fingerprint Quality Estimation for Diverse Capture Sensors"],"prefix":"10.3390","volume":"10","author":[{"given":"Shan Juan","family":"Xie","sequence":"first","affiliation":[{"name":"Department of Electronics and Information Engineering, Chonbuk National University, 664-141 Ga Deokjin-Dong, Jeonju, Jeonbuk, 561-756, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sook","family":"Yoon","sequence":"additional","affiliation":[{"name":"Department of Multimedia Engineering, Mokpo National University, 61 Dorim-ri, Cheonggye-myeon, Jeonnam, 534-729, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinwook","family":"Shin","sequence":"additional","affiliation":[{"name":"Advanced Graduate Education Center of Jeonbuk for EIT-BK21, Chonbuk National University, 664-141 Ga Deokjin-Dong, Jeonju, Jeonbuk, 561-756, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong Sun","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Electronics and Information Engineering, Chonbuk National University, 664-141 Ga Deokjin-Dong, Jeonju, Jeonbuk, 561-756, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2010,8,26]]},"reference":[{"key":"ref_1","first-page":"735","article-title":"Fingerprint Matching Using Invariant Moment FingerCode and Learning Vector Quantization Neural Network","volume":"1","author":"Yang","year":"2006","journal-title":"Comput. Intell. Security"},{"key":"ref_2","unstructured":"Alonso-Fernandez, F, Fabio, R, Fierrez, J, and Ortega-Garcia, J (, January 27\u201329). Comparison of fingerprint quality measures using an optical and a capacitive sensor. Washington, DC, USA."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Maltoni, D, Maio, D, Jain, AK, and Prabhakar, S (2009). Handbook of Fingerprint Recognition, Springer. [2nd ed].","DOI":"10.1007\/978-1-84882-254-2"},{"key":"ref_4","unstructured":"Overview of Capacitive Sensors. Available online: http:\/\/www.lionprecision.com\/capacitive-sensors\/index.html (accessed on 23 March 2010)."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1109\/TIFS.2007.908228","article-title":"A Comparative Study of Fingerprint Image-Quality Estimation Methods","volume":"2","author":"Fierrez","year":"2007","journal-title":"IEEE Trans. Inf. Foren. Sec"},{"key":"ref_6","unstructured":"Lim, E, Jiang, XD, and Yau, WY (2002, January 22\u201325). 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Available online: http:\/\/bias.csr.unibo.it\/fvc2004\/databases.asp (accessed on 10 March 2010)."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/10\/9\/7896\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T22:03:14Z","timestamp":1760220194000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/10\/9\/7896"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,8,26]]},"references-count":21,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2010,9]]}},"alternative-id":["s100907896"],"URL":"https:\/\/doi.org\/10.3390\/s100907896","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,8,26]]}}}