{"id":"https://openalex.org/W2059299135","doi":"https://doi.org/10.1145/1980022.1980308","title":"Transform based face recognition with partial and full feature vector using DCT and Walsh transform","display_name":"Transform based face recognition with partial and full feature vector using DCT and Walsh transform","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2059299135","doi":"https://doi.org/10.1145/1980022.1980308","mag":"2059299135"},"language":"en","primary_location":{"id":"doi:10.1145/1980022.1980308","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1980022.1980308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11","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/A5111875208","display_name":"H. B. Kekre","orcid":null},"institutions":[{"id":"https://openalex.org/I226983648","display_name":"Narsee Monjee Institute of Management Studies","ror":"https://ror.org/04qksbm30","country_code":"IN","type":"education","lineage":["https://openalex.org/I226983648"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"H. B. Kekre","raw_affiliation_strings":["NMIMS University, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"NMIMS University, Mumbai, India","institution_ids":["https://openalex.org/I226983648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028806333","display_name":"Tanuja Sarode","orcid":"https://orcid.org/0000-0002-2167-8289"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. K. Sarode","raw_affiliation_strings":["TSEC, Bandra (W), Mumbai, India"],"affiliations":[{"raw_affiliation_string":"TSEC, Bandra (W), Mumbai, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110114182","display_name":"Prachi Natu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P. J. Natu","raw_affiliation_strings":["GVAIET, Shelu, Karjat, India"],"affiliations":[{"raw_affiliation_string":"GVAIET, Shelu, Karjat, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111244510","display_name":"Sonali Natu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. J. Natu","raw_affiliation_strings":["TSEC, Bandra (W), Mumbai, India"],"affiliations":[{"raw_affiliation_string":"TSEC, Bandra (W), Mumbai, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111875208"],"corresponding_institution_ids":["https://openalex.org/I226983648"],"apc_list":null,"apc_paid":null,"fwci":1.2878,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83039457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1295","last_page":"1295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9977999925613403,"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/T10057","display_name":"Face and Expression Recognition","score":0.9977999925613403,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13579","display_name":"Image and Video Stabilization","score":0.9858999848365784,"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.7895824909210205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6599642038345337},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6510082483291626},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6471164226531982},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6075735688209534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5280500054359436},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.47339046001434326},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4671712815761566},{"id":"https://openalex.org/keywords/bitmap","display_name":"Bitmap","score":0.44951725006103516},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44033998250961304},{"id":"https://openalex.org/keywords/top-hat-transform","display_name":"Top-hat transform","score":0.4134575128555298},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38244909048080444},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2905108630657196},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2769937515258789},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.22947856783866882}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7895824909210205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6599642038345337},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6510082483291626},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6471164226531982},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6075735688209534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5280500054359436},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.47339046001434326},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4671712815761566},{"id":"https://openalex.org/C3115412","wikidata":"https://www.wikidata.org/wiki/Q1194708","display_name":"Bitmap","level":2,"score":0.44951725006103516},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44033998250961304},{"id":"https://openalex.org/C180064427","wikidata":"https://www.wikidata.org/wiki/Q2880017","display_name":"Top-hat transform","level":5,"score":0.4134575128555298},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38244909048080444},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2905108630657196},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2769937515258789},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.22947856783866882},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1980022.1980308","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1980022.1980308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11","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":11,"referenced_works":["https://openalex.org/W119334830","https://openalex.org/W1964438006","https://openalex.org/W2044676113","https://openalex.org/W2098052318","https://openalex.org/W2105994593","https://openalex.org/W2106663685","https://openalex.org/W2121647436","https://openalex.org/W2123690485","https://openalex.org/W2162411291","https://openalex.org/W2165723227","https://openalex.org/W2170388225"],"related_works":["https://openalex.org/W2350456333","https://openalex.org/W2101993108","https://openalex.org/W2356608866","https://openalex.org/W2355840328","https://openalex.org/W1975966184","https://openalex.org/W2364393392","https://openalex.org/W2137246017","https://openalex.org/W2377096008","https://openalex.org/W3126935378","https://openalex.org/W2080886874"],"abstract_inverted_index":{"This":[0,175],"paper":[1],"presents,":[2],"efficient":[3],"transform":[4,22,114,146,162,183],"based":[5],"face":[6],"recognition":[7,149],"technique":[8,73],"which":[9],"considers":[10],"full":[11,134],"and":[12,20,46,53,58,88,112,115,137,153],"partial":[13,65,139],"feature":[14,35,38,49,56,66,108,135,140],"vector":[15,39,57,67,109,136],"of":[16,29,48,55,64,96,106,122,124,155,170],"an":[17],"image.":[18],"2D-DCT":[19],"Walsh":[21,113,145,161,182],"is":[23,40,68,74,101,127,163,176],"applied":[24],"on":[25,76],"the":[26,131,178],"resized":[27],"image":[28],"size":[30,63,105],"128x128,":[31],"to":[32],"obtain":[33],"its":[34],"vector.":[36,141],"Partial":[37],"obtained":[41],"by":[42,172],"selecting":[43],"75%":[44],"rows":[45,52],"columns":[47,54],"vector,":[50],"50%":[51],"so":[59],"on.":[60],"The":[61],"smallest":[62],"selected":[69,107],"as":[70],"4x4.":[71],"Proposed":[72],"tested":[75],"two":[77],"different":[78],"databases.":[79],"Georgia":[80],"Tech":[81],"Face":[82,90],"Database":[83,91],"contains":[84,92],"JPEG":[85],"color":[86,94],"images":[87,95],"Indian":[89],"Bitmap":[93],"varying":[97,104],"size.":[98],"Recognition":[99],"rate":[100,150],"calculated":[102],"for":[103],"using":[110,159,173],"DCT":[111,152],"compared.":[116],"Also":[117],"computational":[118],"complexity":[119],"in":[120,129,181],"terms":[121],"number":[123,154],"CPU":[125,156],"units":[126,157],"compared":[128],"both":[130],"cases:":[132],"with":[133,138],"Results":[142],"show":[143],"that,":[144],"gives":[147],"better":[148],"than":[151,168],"required":[158,171,180],"2D-":[160],"almost":[164],"9":[165],"times":[166],"less":[167],"that":[169],"2D-DCT.":[174],"because":[177],"multiplications":[179],"are":[184],"zero.":[185]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}