Incrementally verifying automata for fingerprint sensors

Pei Yung Hsiao, Gao Shang

研究成果: 圖書/報告稿件的類型會議稿件同行評審

摘要

With the rapid development of fingerprint technology and computational algorithm, the accuracy requirements of semiconductor fingerprint sensors are getting higher and higher. From a business perspective or to a manufacturer, demands for automatic quality assessment and verification of semiconductor sensors are much critical. This paper has developed a complete evaluation system including extraction, matching algorithm, threshold regulation and cumulative similarity score. The SIN matching solution combined with single point and neighboring triple points mapping strategy is presented as a core of the matching algorithm. By means of repeated operations, an incremental verifying tool for estimating the quality of fingerprints is successfully built. Based on dozen sampling each user's fingertips, a Dozen Matching Module is built as a basic component in the system. Moreover, the method described in this paper can not only assess the full fingerprint or fragment fingerprint sensors, but also strengthen the system in the practical application of extensive and convenient.

原文英語
主出版物標題2017 4th International Conference on Systems and Informatics, ICSAI 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面442-447
頁數6
ISBN(電子)9781538611074
DOIs
出版狀態已出版 - 28 06 2017
對外發佈
事件4th International Conference on Systems and Informatics, ICSAI 2017 - Hangzhou, 中國
持續時間: 11 11 201713 11 2017

出版系列

名字2017 4th International Conference on Systems and Informatics, ICSAI 2017
2018-January

Conference

Conference4th International Conference on Systems and Informatics, ICSAI 2017
國家/地區中國
城市Hangzhou
期間11/11/1713/11/17

文獻附註

Publisher Copyright:
© 2017 IEEE.

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