{"id":"https://openalex.org/W2902829119","doi":"https://doi.org/10.1109/icacci.2018.8554583","title":"Multi-Level Analysis of Bit-Plane Based GLAC Feature and other Existing Texture Features for a Robust Hand Detection System","display_name":"Multi-Level Analysis of Bit-Plane Based GLAC Feature and other Existing Texture Features for a Robust Hand Detection System","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902829119","doi":"https://doi.org/10.1109/icacci.2018.8554583","mag":"2902829119"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2018.8554583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5006574118","display_name":"Songhita Misra","orcid":"https://orcid.org/0000-0002-0341-2655"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Songhita Misra","raw_affiliation_strings":["ECE Dept., NIT Silchar, Silchar, India"],"affiliations":[{"raw_affiliation_string":"ECE Dept., NIT Silchar, Silchar, India","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000303933","display_name":"Rabul Hussain Laskar","orcid":"https://orcid.org/0000-0003-3988-394X"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rabul Hussain Laskar","raw_affiliation_strings":["ECE Dept., NIT Silchar, Silchar, India"],"affiliations":[{"raw_affiliation_string":"ECE Dept., NIT Silchar, Silchar, India","institution_ids":["https://openalex.org/I151903974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006574118"],"corresponding_institution_ids":["https://openalex.org/I151903974"],"apc_list":null,"apc_paid":null,"fwci":0.3622,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61842235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"2318","last_page":"2324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9921000003814697,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/histogram","display_name":"Histogram","score":0.7854746580123901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7558420896530151},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6981269121170044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6488197445869446},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6368095874786377},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5746687054634094},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.5456113219261169},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5358210206031799},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5287069082260132},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4250917136669159},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40181708335876465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27221915125846863},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08074268698692322}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7854746580123901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7558420896530151},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6981269121170044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6488197445869446},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6368095874786377},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5746687054634094},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.5456113219261169},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5358210206031799},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5287069082260132},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4250917136669159},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40181708335876465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27221915125846863},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08074268698692322},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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:10.1109/icacci.2018.8554583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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":32,"referenced_works":["https://openalex.org/W1736593278","https://openalex.org/W1969840923","https://openalex.org/W1989853905","https://openalex.org/W2000761799","https://openalex.org/W2024046085","https://openalex.org/W2032210760","https://openalex.org/W2094645604","https://openalex.org/W2106291868","https://openalex.org/W2140494000","https://openalex.org/W2151177384","https://openalex.org/W2161969291","https://openalex.org/W2163614729","https://openalex.org/W2164416728","https://openalex.org/W2165294693","https://openalex.org/W2526813065","https://openalex.org/W2533863441","https://openalex.org/W2584811897","https://openalex.org/W2604977214","https://openalex.org/W2732588065","https://openalex.org/W2761410208","https://openalex.org/W2801841867","https://openalex.org/W3097096317","https://openalex.org/W3214102110","https://openalex.org/W4285719527","https://openalex.org/W6637829955","https://openalex.org/W6683915439","https://openalex.org/W6684492130","https://openalex.org/W6732946587","https://openalex.org/W6736293881","https://openalex.org/W6740374541","https://openalex.org/W6744910489","https://openalex.org/W6804270185"],"related_works":["https://openalex.org/W2562641072","https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W1964725559","https://openalex.org/W3109748140","https://openalex.org/W2045053268","https://openalex.org/W2433492094","https://openalex.org/W2767833206","https://openalex.org/W3035557717"],"abstract_inverted_index":{"Hand":[0],"detection":[1,14,206],"is":[2,15,58,94,121,151],"the":[3,56,65,74,102],"vital":[4,66],"step":[5],"towards":[6],"developing":[7],"a":[8,16,21,83,90],"gesture":[9],"recognition":[10],"system.":[11],"Robust":[12],"hand":[13,205],"challenging":[17],"task":[18],"and":[19,40,76,117,155,161,194],"needs":[20],"deeper":[22],"investigation":[23],"of":[24,36,137,148,185],"hand-oriented":[25],"features":[26,32,68,188],"under":[27],"practical":[28],"conditions.":[29],"Existing":[30],"texture":[31,92,130],"such":[33,110],"as":[34,111],"Histogram":[35],"oriented":[37],"gradients":[38],"(HOG),":[39],"Gabor":[41,160,195],"feature":[42,57,86,93,126,131,150],"are":[43,167,189],"efficient":[44,201],"but":[45],"requires":[46],"high":[47],"extraction":[48,87],"time":[49,77,184],"due":[50],"to":[51,124,127],"their":[52],"dense":[53],"nature.":[54],"If":[55],"extracted":[59],"from":[60],"an":[61,200],"edge-filtered":[62],"imaged,":[63],"only":[64],"edge":[67],"will":[69],"be":[70],"processed":[71],"while":[72],"reducing":[73],"computation":[75],"complexity.":[78],"Therefore":[79],"present":[80],"work":[81],"proposes":[82],"bit-plane":[84,186],"based":[85],"approach.":[88],"Also,":[89],"new":[91],"proposed,":[95],"Gradient":[96],"Local":[97],"Auto-Correlations":[98],"(GLAC)":[99],"that":[100,146],"extracts":[101],"2":[103],"<sup":[104],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[105],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">nd</sup>":[106],"order":[107],"statistical":[108],"parameters":[109],"curvature":[112],"statistics":[113],"unlike":[114],"HOG,":[115,159],"Gabor,":[116],"histogram":[118,162],"feature.":[119],"GLAC":[120,187],"also":[122],"modified":[123],"GLACgrid":[125,149],"extract":[128],"local":[129],"by":[132],"using":[133,169],"spatial":[134],"binning":[135],"grids":[136],"2\u00d73":[138],"with":[139],"5":[140],"orientation":[141],"bins.":[142],"Experimental":[143],"observations":[144],"showed":[145],"performance":[147],"approx.":[152],"3.5%,":[153],"10.6%,":[154],"19%":[156],"higher":[157],"than":[158,192],"feature,":[163,196],"respectively.":[164],"Evaluation":[165],"models":[166],"developed":[168],"Na\u00efve":[170],"Bayes":[171],"classifier,":[172],"Real":[173],"AdaBoost,":[174,176,178],"Gentle":[175],"Modest":[177],"support":[179],"vector":[180],"machine":[181],"(SVM).":[182],"Response":[183],"considerably":[190],"lower":[191],"HOG":[193],"which":[197],"makes":[198],"it":[199],"candidate":[202],"for":[203],"realtime":[204],"systems.":[207]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
