{"id":"https://openalex.org/W4400878804","doi":"https://doi.org/10.1109/iwbf62628.2024.10593842","title":"On the Influence of Texture Strength and Camera Signal on Micro- Texture Surface Classification","display_name":"On the Influence of Texture Strength and Camera Signal on Micro- Texture Surface Classification","publication_year":2024,"publication_date":"2024-04-11","ids":{"openalex":"https://openalex.org/W4400878804","doi":"https://doi.org/10.1109/iwbf62628.2024.10593842"},"language":"en","primary_location":{"id":"doi:10.1109/iwbf62628.2024.10593842","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iwbf62628.2024.10593842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 12th International Workshop on Biometrics and Forensics (IWBF)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025750854","display_name":"Johannes Schuiki","orcid":"https://orcid.org/0000-0002-6197-2327"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Johannes Schuiki","raw_affiliation_strings":["University of Salzburg,Dept. of Artificial Intelligence and Human Interfaces,Austria"],"affiliations":[{"raw_affiliation_string":"University of Salzburg,Dept. of Artificial Intelligence and Human Interfaces,Austria","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037016808","display_name":"Christof Kauba","orcid":"https://orcid.org/0000-0002-2716-1360"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Christof Kauba","raw_affiliation_strings":["University of Salzburg,Dept. of Artificial Intelligence and Human Interfaces,Austria"],"affiliations":[{"raw_affiliation_string":"University of Salzburg,Dept. of Artificial Intelligence and Human Interfaces,Austria","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059248503","display_name":"Heinz Hofbauer","orcid":"https://orcid.org/0000-0003-2969-1848"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Heinz Hofbauer","raw_affiliation_strings":["University of Salzburg,Dept. of Artificial Intelligence and Human Interfaces,Austria"],"affiliations":[{"raw_affiliation_string":"University of Salzburg,Dept. of Artificial Intelligence and Human Interfaces,Austria","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062946437","display_name":"Andreas Uhl","orcid":"https://orcid.org/0000-0002-5921-8755"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Andreas Uhl","raw_affiliation_strings":["University of Salzburg,Dept. of Artificial Intelligence and Human Interfaces,Austria"],"affiliations":[{"raw_affiliation_string":"University of Salzburg,Dept. of Artificial Intelligence and Human Interfaces,Austria","institution_ids":["https://openalex.org/I182212641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025750854"],"corresponding_institution_ids":["https://openalex.org/I182212641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15079023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9610000252723694,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9610000252723694,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9217000007629395,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.836396336555481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5939865112304688},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5740441083908081},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5189933180809021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48105716705322266},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45528966188430786},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.41656067967414856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34037214517593384},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25268685817718506},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.185936838388443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12432071566581726},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.053677380084991455}],"concepts":[{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.836396336555481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5939865112304688},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5740441083908081},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5189933180809021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48105716705322266},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45528966188430786},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.41656067967414856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34037214517593384},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25268685817718506},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.185936838388443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12432071566581726},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.053677380084991455},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwbf62628.2024.10593842","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iwbf62628.2024.10593842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 12th International Workshop on Biometrics and Forensics (IWBF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W118103241","https://openalex.org/W1606858007","https://openalex.org/W2031586513","https://openalex.org/W2047643928","https://openalex.org/W2056370875","https://openalex.org/W2124695272","https://openalex.org/W2151103935","https://openalex.org/W2163352848","https://openalex.org/W2205622834","https://openalex.org/W2544461831","https://openalex.org/W2785703666","https://openalex.org/W2809497250","https://openalex.org/W2888338418","https://openalex.org/W2896364909","https://openalex.org/W2915138900","https://openalex.org/W2963054777","https://openalex.org/W3035006702","https://openalex.org/W3161562203","https://openalex.org/W3203852111","https://openalex.org/W4306403095","https://openalex.org/W4382053145","https://openalex.org/W4395078843"],"related_works":["https://openalex.org/W4221153518","https://openalex.org/W1506940452","https://openalex.org/W1983661653","https://openalex.org/W2351655225","https://openalex.org/W2044270176","https://openalex.org/W2374828682","https://openalex.org/W2153116791","https://openalex.org/W2388733570","https://openalex.org/W4230530180","https://openalex.org/W1980033651"],"abstract_inverted_index":{"The":[0],"digital":[1],"cameras":[2],"contained":[3],"in":[4],"nearly":[5],"all":[6],"modern":[7],"smartphone":[8,44],"devices":[9,45],"can":[10],"be":[11],"utilised":[12],"for":[13],"a":[14,53],"broad":[15],"range":[16],"of":[17,88,92,98],"applications,":[18],"e.g.":[19],"biometric":[20],"recognition":[21],"and":[22,29,71,84,90,96],"extrinsic":[23],"product":[24],"authenti-cation":[25],"which":[26],"are":[27,46],"well-established":[28],"work":[30,51],"reliably.":[31],"However,":[32],"previous":[33],"research":[34],"revealed":[35],"undeniable":[36],"problems":[37],"with":[38],"micro-structure":[39],"surface":[40],"classification":[41],"if":[42],"different":[43,63],"involved":[47],"(cross-device":[48],"scenario).":[49],"This":[50],"is":[52],"step":[54],"further":[55],"towards":[56],"understanding":[57],"the":[58,74,79,86,93],"underlying":[59],"reasons":[60],"by":[61],"employing":[62],"training":[64],"strategies":[65],"(training":[66],"on":[67,73],"general":[68],"texture":[69,80],"patches":[70],"testing":[72,85],"dental":[75],"ceramic":[76],"ones),":[77],"analysing":[78],"properties":[81],"(information":[82],"entropy)":[83],"performance":[87],"pairs":[89],"triples":[91],"same":[94],"make":[95],"model":[97],"smartphones":[99],"compared":[100],"to":[101],"arbitrary":[102],"device":[103],"pairs.":[104]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}