{"id":{"repo_id":"wvu","oai_identifier":"oai:researchrepository.wvu.edu:etd-2620"},"canonical_url":"https://search.dev.ndltd.org/etd/wvu/oai:researchrepository.wvu.edu:etd-2620","repository":{"repo_id":"wvu","name":"West Virginia University","base_url":"https://researchrepository.wvu.edu/do/oai/"},"display":{"title":"Fingerprint testing protocols for optical sensors","abstract":"Currently there is a variety of conflicting and contradictory testing protocols for biometric technologies. There is currently no biometrics testing standard, which allows vendors to skew their test results in their favor. The research discussed in this thesis aims to address these issues by developing and validating testing protocols for optical fingerprint sensors. Angle of rotation, translation, lighting, and device placement have been identified in this work as variables potentially affecting system performance and protocols were developed to evaluate their effects on optical fingerprint sensor performance. Testing was done by capturing raw images under different scenarios, then offline analysis of data was performed to see how these variables impact performance. Based on the results of this research, it can be shown that these variables have an effect on system performance in optical fingerprint sensors and these protocols have some relevance in the evaluation of optical fingerprint sensors.","abstract_html":"Currently there is a variety of conflicting and contradictory testing protocols for biometric technologies. There is currently no biometrics testing standard, which allows vendors to skew their test results in their favor. The research discussed in this thesis aims to address these issues by developing and validating testing protocols for optical fingerprint sensors. Angle of rotation, translation, lighting, and device placement have been identified in this work as variables potentially affecting system performance and protocols were developed to evaluate their effects on optical fingerprint sensor performance. Testing was done by capturing raw images under different scenarios, then offline analysis of data was performed to see how these variables impact performance. Based on the results of this research, it can be shown that these variables have an effect on system performance in optical fingerprint sensors and these protocols have some relevance in the evaluation of optical fingerprint sensors.","abstract_has_math":false,"creators":["Rosiek, Travis W."],"institution":null,"degree_name":"MS","degree_level":"Thesis","degree_discipline":"Lane Department of Computer Science and Electrical Engineering","degree_department":null,"school":null,"contributors":["Bojan Cukic."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2005,"date_issued":"2005-05-01T07:00:00Z","date_published":"2005-05-01T07:00:00Z","updated_at":"2026-07-24T06:15:55Z","subjects":["Electrical engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://researchrepository.wvu.edu/etd/1617"],"render_values":[{"text":"https://researchrepository.wvu.edu/etd/1617","href":"https://researchrepository.wvu.edu/etd/1617","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.33915/etd.1617","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Bojan Cukic."]},{"key":"dc:creator","label":"Author","values":["Rosiek, Travis W."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2019-01-17T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Lane Department of Computer Science and Electrical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["MS"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Electrical engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://doi.org/10.33915/etd.1617","https://researchrepository.wvu.edu/etd/1617"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Currently there is a variety of conflicting and contradictory testing protocols for biometric technologies. There is currently no biometrics testing standard, which allows vendors to skew their test results in their favor. The research discussed in this thesis aims to address these issues by developing and validating testing protocols for optical fingerprint sensors. Angle of rotation, translation, lighting, and device placement have been identified in this work as variables potentially affecting system performance and protocols were developed to evaluate their effects on optical fingerprint sensor performance. Testing was done by capturing raw images under different scenarios, then offline analysis of data was performed to see how these variables impact performance. Based on the results of this research, it can be shown that these variables have an effect on system performance in optical fingerprint sensors and these protocols have some relevance in the evaluation of optical fingerprint sensors."]},{"key":"dc:title","label":"Title","values":["Fingerprint testing protocols for optical sensors"]}]}],"canonical_facts":{"dc:contributor":["Bojan Cukic."],"dc:creator":["Rosiek, Travis W."],"dc:date.available":["2019-01-17T08:00:00Z"],"dc:description.abstract":["Currently there is a variety of conflicting and contradictory testing protocols for biometric technologies. There is currently no biometrics testing standard, which allows vendors to skew their test results in their favor. The research discussed in this thesis aims to address these issues by developing and validating testing protocols for optical fingerprint sensors. Angle of rotation, translation, lighting, and device placement have been identified in this work as variables potentially affecting system performance and protocols were developed to evaluate their effects on optical fingerprint sensor performance. Testing was done by capturing raw images under different scenarios, then offline analysis of data was performed to see how these variables impact performance. Based on the results of this research, it can be shown that these variables have an effect on system performance in optical fingerprint sensors and these protocols have some relevance in the evaluation of optical fingerprint sensors."],"dc:identifier":["https://doi.org/10.33915/etd.1617","https://researchrepository.wvu.edu/etd/1617"],"dc:subject":["Electrical engineering"],"dc:title":["Fingerprint testing protocols for optical sensors"],"thesis:degree_discipline":["Lane Department of Computer Science and Electrical Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["MS"]},"updated_at":"2026-07-24T06:15:55Z"}