{"id":"https://openalex.org/W3003724358","doi":"https://doi.org/10.1007/s00500-020-04733-x","title":"A computational approach for printed document forensics using SURF and ORB features","display_name":"A computational approach for printed document forensics using SURF and ORB features","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W3003724358","doi":"https://doi.org/10.1007/s00500-020-04733-x","mag":"3003724358"},"language":"en","primary_location":{"id":"doi:10.1007/s00500-020-04733-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-020-04733-x","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-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/A5055589318","display_name":"Munish Kumar","orcid":"https://orcid.org/0000-0003-0115-1620"},"institutions":[{"id":"https://openalex.org/I4210136518","display_name":"Maharaja Ranjit Singh Punjab Technical University","ror":"https://ror.org/03k7qz240","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210136518"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Munish Kumar","raw_affiliation_strings":["Department of Computational Sciences, Maharaja Ranjit Singh Punjab Technical University, Bathinda, Punjab, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Sciences, Maharaja Ranjit Singh Punjab Technical University, Bathinda, Punjab, India","institution_ids":["https://openalex.org/I4210136518"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075521683","display_name":"Surbhi Gupta","orcid":"https://orcid.org/0000-0003-0618-8369"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Surbhi Gupta","raw_affiliation_strings":["Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031750354","display_name":"Neeraj Mohan","orcid":"https://orcid.org/0000-0002-8090-0310"},"institutions":[{"id":"https://openalex.org/I94616015","display_name":"Punjab Technical University","ror":"https://ror.org/025kz2973","country_code":"IN","type":"education","lineage":["https://openalex.org/I94616015"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neeraj Mohan","raw_affiliation_strings":["Department of Computer Science and Engineering, I.K.G Punjab Technical University Mohali Campus, Mohali, Punjab, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, I.K.G Punjab Technical University Mohali Campus, Mohali, Punjab, India","institution_ids":["https://openalex.org/I94616015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055589318"],"corresponding_institution_ids":["https://openalex.org/I4210136518"],"apc_list":{"value":2750,"currency":"USD","value_usd":2750},"apc_paid":null,"fwci":1.9001,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.86292197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"24","issue":"17","first_page":"13197","last_page":"13208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8184236884117126},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7367948889732361},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.648731529712677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5826213955879211},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5438935160636902},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5133992433547974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4782242476940155},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.4457373321056366},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43627724051475525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4266194701194763},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.18772298097610474},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1166488528251648}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8184236884117126},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7367948889732361},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.648731529712677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5826213955879211},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5438935160636902},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5133992433547974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4782242476940155},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.4457373321056366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43627724051475525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4266194701194763},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.18772298097610474},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1166488528251648}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00500-020-04733-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-020-04733-x","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W164422561","https://openalex.org/W1492332234","https://openalex.org/W1718191392","https://openalex.org/W1912123407","https://openalex.org/W1977138574","https://openalex.org/W2003571013","https://openalex.org/W2016835253","https://openalex.org/W2029832855","https://openalex.org/W2033323324","https://openalex.org/W2057105140","https://openalex.org/W2074940887","https://openalex.org/W2079317077","https://openalex.org/W2080463622","https://openalex.org/W2108243386","https://openalex.org/W2145073242","https://openalex.org/W2165553585","https://openalex.org/W2332852635","https://openalex.org/W2599541725","https://openalex.org/W2606661584","https://openalex.org/W2645357447","https://openalex.org/W2783190965","https://openalex.org/W2801323926","https://openalex.org/W2894381394","https://openalex.org/W2911964244","https://openalex.org/W2923786003","https://openalex.org/W2967942591","https://openalex.org/W2992580962","https://openalex.org/W2993616437","https://openalex.org/W3101091823"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W3210764983","https://openalex.org/W4367335949","https://openalex.org/W2073883415","https://openalex.org/W3089416646","https://openalex.org/W4380048833","https://openalex.org/W4285162676","https://openalex.org/W3036529732"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
