{"id":"https://openalex.org/W2624688691","doi":"https://doi.org/10.1109/isba.2017.7947688","title":"A novel palmprint recognition system using patch based filter response","display_name":"A novel palmprint recognition system using patch based filter response","publication_year":2017,"publication_date":"2017-02-01","ids":{"openalex":"https://openalex.org/W2624688691","doi":"https://doi.org/10.1109/isba.2017.7947688","mag":"2624688691"},"language":"en","primary_location":{"id":"doi:10.1109/isba.2017.7947688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isba.2017.7947688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)","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/A5028760144","display_name":"Saiyed Umer","orcid":"https://orcid.org/0000-0002-1476-041X"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Saiyed Umer","raw_affiliation_strings":["Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030040438","display_name":"Bibhas Chandra Dhara","orcid":"https://orcid.org/0000-0003-3731-0005"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bibhas Chandra Dhara","raw_affiliation_strings":["Jadavpur University, Kolkata, West Bengal, IN"],"affiliations":[{"raw_affiliation_string":"Jadavpur University, Kolkata, West Bengal, IN","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079139411","display_name":"Bhabatosh Chanda","orcid":"https://orcid.org/0009-0008-7648-6867"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bhabatosh Chanda","raw_affiliation_strings":["Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028760144"],"corresponding_institution_ids":["https://openalex.org/I6498739"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.05940799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9319999814033508,"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/T14333","display_name":"Dermatoglyphics and Human Traits","score":0.9276999831199646,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7693013548851013},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.735137939453125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.714713990688324},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7032755017280579},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.664665699005127},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.6426355242729187},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6082668900489807},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5160743594169617},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.4659116566181183},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.44926121830940247},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4319482743740082},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2507486343383789}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7693013548851013},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.735137939453125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714713990688324},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7032755017280579},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.664665699005127},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.6426355242729187},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6082668900489807},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5160743594169617},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.4659116566181183},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.44926121830940247},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4319482743740082},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2507486343383789}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isba.2017.7947688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isba.2017.7947688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)","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":36,"referenced_works":["https://openalex.org/W1484228140","https://openalex.org/W1917380066","https://openalex.org/W1968113673","https://openalex.org/W1979820753","https://openalex.org/W1991816926","https://openalex.org/W1995891829","https://openalex.org/W2002316694","https://openalex.org/W2015149046","https://openalex.org/W2036329542","https://openalex.org/W2044465660","https://openalex.org/W2046603870","https://openalex.org/W2063424920","https://openalex.org/W2064474456","https://openalex.org/W2069933479","https://openalex.org/W2076019763","https://openalex.org/W2102181094","https://openalex.org/W2102734279","https://openalex.org/W2110874924","https://openalex.org/W2111560940","https://openalex.org/W2114214092","https://openalex.org/W2114919633","https://openalex.org/W2122393977","https://openalex.org/W2129976136","https://openalex.org/W2146691237","https://openalex.org/W2158698691","https://openalex.org/W2160776381","https://openalex.org/W2260205085","https://openalex.org/W2289768468","https://openalex.org/W2914852731","https://openalex.org/W3112293456","https://openalex.org/W6640142374","https://openalex.org/W6642399044","https://openalex.org/W6650881465","https://openalex.org/W6661982196","https://openalex.org/W6681125465","https://openalex.org/W6683721463"],"related_works":["https://openalex.org/W2293149949","https://openalex.org/W2026099691","https://openalex.org/W4284672201","https://openalex.org/W2377486419","https://openalex.org/W2943202426","https://openalex.org/W2163679795","https://openalex.org/W2736714427","https://openalex.org/W2137816434","https://openalex.org/W2017956276","https://openalex.org/W2048606991"],"abstract_inverted_index":{"A":[0],"novel":[1],"palmprint":[2,52,96],"recognition":[3,97],"system":[4,12,98],"is":[5,28,54,84,99],"proposed":[6,11,95,120],"in":[7],"this":[8,37,114],"paper.":[9],"The":[10,46,91],"consists":[13],"of":[14,59,74,93,118],"pre-processing,":[15],"feature":[16,75],"extraction":[17],"and":[18,35,39,111,113],"classification":[19,89],"components.":[20],"During":[21],"preprocessing":[22],"a":[23,31,57,71,79],"region-of-interest":[24],"for":[25,36],"palm":[26],"texture":[27,53],"extracted":[29,48],"from":[30,49,65],"given":[32],"hand":[33,104],"image":[34,105],"thresholding":[38],"mathematical":[40],"morphological":[41],"based":[42,55,67],"operators":[43],"are":[44],"employed.":[45],"features":[47],"the":[50,61,88,94,116,119],"detected":[51],"on":[56,101],"method":[58],"ordering":[60],"codebook":[62],"patterns":[63],"obtained":[64],"patch":[66],"filter":[68],"responses":[69],"with":[70],"new":[72],"way":[73],"representation":[76],"scheme.":[77],"Finally":[78],"multi-class":[80],"linear":[81],"SVM":[82],"classifier":[83],"employed":[85],"to":[86],"do":[87],"job.":[90],"performance":[92],"tested":[100],"four":[102],"benchmark":[103],"databases,":[106],"namely":[107],"IITD,":[108],"POLYU,":[109],"CASIA":[110],"BOSPHORUS":[112],"shows":[115],"efficacy":[117],"method.":[121]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
