{"id":"https://openalex.org/W2060844334","doi":"https://doi.org/10.1109/dictap.2012.6215338","title":"Face recognition using Oriented Laplacian of Gaussian (OLOG) and Independent Component Analysis (ICA)","display_name":"Face recognition using Oriented Laplacian of Gaussian (OLOG) and Independent Component Analysis (ICA)","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2060844334","doi":"https://doi.org/10.1109/dictap.2012.6215338","mag":"2060844334"},"language":"en","primary_location":{"id":"doi:10.1109/dictap.2012.6215338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dictap.2012.6215338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Second International Conference on Digital Information and Communication Technology and it's Applications (DICTAP)","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/A5113619669","display_name":"J. Kailash Karande","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"J. Kailash Karande","raw_affiliation_strings":["SKN Sinhgad College of Engineering, Pandharpur, Dist- Solapur, India","SKN Sinhgad College of Engineering, Pandharpur, Dist - Solapur, India"],"affiliations":[{"raw_affiliation_string":"SKN Sinhgad College of Engineering, Pandharpur, Dist- Solapur, India","institution_ids":[]},{"raw_affiliation_string":"SKN Sinhgad College of Engineering, Pandharpur, Dist - Solapur, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091593309","display_name":"Sanjay N. Talbar","orcid":"https://orcid.org/0000-0002-0111-4910"},"institutions":[{"id":"https://openalex.org/I4210093989","display_name":"Sanskriti Samvardhan Mandal","ror":"https://ror.org/01egfqj98","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210093989"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N. Sanjay Talbar","raw_affiliation_strings":["SGGS Institute of Engineering & Technology, Nanded, India"],"affiliations":[{"raw_affiliation_string":"SGGS Institute of Engineering & Technology, Nanded, India","institution_ids":["https://openalex.org/I4210093989"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111452046","display_name":"Shilpa Inamdar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Sandeep Inamdar","raw_affiliation_strings":["Sinhgad Institute of Technology, Lonavala, Pune, India"],"affiliations":[{"raw_affiliation_string":"Sinhgad Institute of Technology, Lonavala, Pune, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113619669"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7345,"has_fulltext":false,"cited_by_count":132,"citation_normalized_percentile":{"value":0.73752893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"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/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7962494492530823},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.7788066864013672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7530573606491089},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6510940790176392},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6258013248443604},{"id":"https://openalex.org/keywords/blob-detection","display_name":"Blob detection","score":0.6100161075592041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5841032266616821},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5713446140289307},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.571068525314331},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5535526275634766},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.547590970993042},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5319042205810547},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4756214916706085},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4062814712524414},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33200451731681824},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22548207640647888},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18532410264015198},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.14140895009040833}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7962494492530823},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.7788066864013672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7530573606491089},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6510940790176392},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6258013248443604},{"id":"https://openalex.org/C29168087","wikidata":"https://www.wikidata.org/wiki/Q1026711","display_name":"Blob detection","level":5,"score":0.6100161075592041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5841032266616821},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5713446140289307},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.571068525314331},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5535526275634766},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.547590970993042},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5319042205810547},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4756214916706085},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4062814712524414},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33200451731681824},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22548207640647888},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18532410264015198},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.14140895009040833},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dictap.2012.6215338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dictap.2012.6215338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Second International Conference on Digital Information and Communication Technology and it's Applications (DICTAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W5443255","https://openalex.org/W2092569720","https://openalex.org/W2095999100","https://openalex.org/W2097836861","https://openalex.org/W2103504761","https://openalex.org/W2112043903","https://openalex.org/W2123649031","https://openalex.org/W2130972944","https://openalex.org/W2136584940","https://openalex.org/W2146474141","https://openalex.org/W2152558312","https://openalex.org/W2425989698","https://openalex.org/W4285719527","https://openalex.org/W6600230186","https://openalex.org/W6717989283"],"related_works":["https://openalex.org/W2121429698","https://openalex.org/W2182042810","https://openalex.org/W2069634291","https://openalex.org/W2909812680","https://openalex.org/W2139109058","https://openalex.org/W200201533","https://openalex.org/W2000451122","https://openalex.org/W2351834145","https://openalex.org/W2348487299","https://openalex.org/W2100724542"],"abstract_inverted_index":{"The":[0,19,57,71,82],"problem":[1],"of":[2,29,80,90],"face":[3,91],"recognition":[4],"using":[5,26,47],"Laplacian":[6,28],"pyramids":[7],"with":[8,33],"different":[9,35,88],"orientations":[10,36],"and":[11,40,99],"independent":[12,58],"components":[13,59],"is":[14,23,44,76,84],"addressed":[15],"in":[16,95],"this":[17],"paper.":[18],"edginess":[20],"like":[21],"information":[22],"obtained":[24,60],"by":[25,46,61],"Oriented":[27],"Gaussian":[30],"(OLOG)":[31],"methods":[32],"four":[34],"(0\u00b0,":[37],"45\u00b0,":[38],"90\u00b0,":[39],"135\u00b0)":[41],"then":[42],"preprocessing":[43],"done":[45],"Principle":[48],"Component":[49],"analysis":[50],"(PCA)":[51],"before":[52],"obtaining":[53],"the":[54],"Independent":[55],"Components.":[56],"ICA":[62],"algorithms":[63],"are":[64],"used":[65,77],"as":[66],"feature":[67],"vectors":[68],"for":[69,78,93],"classification.":[70],"Euclidean":[72],"distance":[73],"(L2)":[74],"classifier":[75],"testing":[79],"images.":[81],"algorithm":[83],"tested":[85],"on":[86],"two":[87],"databases":[89],"images":[92],"variation":[94],"illumination,":[96],"facial":[97,100],"expressions":[98],"poses":[101],"up":[102],"to":[103],"180\u00b0":[104],"rotation":[105],"angle.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":127},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}