{"id":"https://openalex.org/W4405602199","doi":"https://doi.org/10.1109/ivcnz64857.2024.10794469","title":"Two-Stage Punch-Code Recognition Using a CNN and the Hough Transform","display_name":"Two-Stage Punch-Code Recognition Using a CNN and the Hough Transform","publication_year":2024,"publication_date":"2024-12-04","ids":{"openalex":"https://openalex.org/W4405602199","doi":"https://doi.org/10.1109/ivcnz64857.2024.10794469"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz64857.2024.10794469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz64857.2024.10794469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5091024626","display_name":"Jaco Fourie","orcid":"https://orcid.org/0000-0002-7734-8262"},"institutions":[{"id":"https://openalex.org/I4210114520","display_name":"Lincoln Agritech (New Zealand)","ror":"https://ror.org/01qb09m39","country_code":"NZ","type":"company","lineage":["https://openalex.org/I184746854","https://openalex.org/I4210114520"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Jaco Fourie","raw_affiliation_strings":["Lincoln Agritech,Lincoln,New Zealand"],"affiliations":[{"raw_affiliation_string":"Lincoln Agritech,Lincoln,New Zealand","institution_ids":["https://openalex.org/I4210114520"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034309552","display_name":"Kapila Pahalawatta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114520","display_name":"Lincoln Agritech (New Zealand)","ror":"https://ror.org/01qb09m39","country_code":"NZ","type":"company","lineage":["https://openalex.org/I184746854","https://openalex.org/I4210114520"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Kapila Pahalawatta","raw_affiliation_strings":["Lincoln Agritech,Lincoln,New Zealand"],"affiliations":[{"raw_affiliation_string":"Lincoln Agritech,Lincoln,New Zealand","institution_ids":["https://openalex.org/I4210114520"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091024626"],"corresponding_institution_ids":["https://openalex.org/I4210114520"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24350415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","score":0.9945999979972839,"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/T13579","display_name":"Image and Video Stabilization","score":0.9945999979972839,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9819999933242798,"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/T10860","display_name":"Speech and Audio Processing","score":0.975600004196167,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7599246501922607},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.7098946571350098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6049729585647583},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5450688600540161},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.4685942232608795},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3923704922199249},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3553617000579834},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34493201971054077},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3238617181777954},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11927935481071472},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0986994206905365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7599246501922607},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.7098946571350098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6049729585647583},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5450688600540161},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4685942232608795},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3923704922199249},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3553617000579834},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34493201971054077},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3238617181777954},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11927935481071472},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0986994206905365},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz64857.2024.10794469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz64857.2024.10794469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ)","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":13,"referenced_works":["https://openalex.org/W1992366646","https://openalex.org/W2095905764","https://openalex.org/W2501369945","https://openalex.org/W2555576940","https://openalex.org/W3019465543","https://openalex.org/W3114549444","https://openalex.org/W3200713514","https://openalex.org/W6620707391","https://openalex.org/W6735463952","https://openalex.org/W6751192973","https://openalex.org/W6764623572","https://openalex.org/W6773828544","https://openalex.org/W6776585519"],"related_works":["https://openalex.org/W2030098947","https://openalex.org/W1974777989","https://openalex.org/W2003466055","https://openalex.org/W2363834444","https://openalex.org/W2070077862","https://openalex.org/W2765199790","https://openalex.org/W2164944168","https://openalex.org/W2326760703","https://openalex.org/W262984167","https://openalex.org/W2372868647"],"abstract_inverted_index":{"Several":[0],"technologies":[1],"are":[2,63],"available":[3],"for":[4],"marking":[5],"logs.":[6],"One":[7],"of":[8,43,108,118,205],"the":[9,39,73,76,81,143,155,168,174,184,195,203,206,211,218,225],"oldest":[10],"wood":[11,82,170],"tracking":[12],"information":[13,32],"systems":[14],"still":[15],"in":[16,124,141,146,158,179,224],"use":[17],"today":[18],"is":[19,23],"log":[20,27,31,116],"punching.":[21],"This":[22],"primarily":[24],"required":[25],"by":[26,65],"companies":[28],"to":[29,87,102,153,162,182,201,210],"trace":[30],"such":[33,44],"as":[34,55],"ownership":[35],"and":[36,41,50,72,80,98,104,127,137,173],"usability.":[37],"Automating":[38],"identification":[40],"decoding":[42],"punch":[45,77,109,112],"codes,":[46],"using":[47],"image":[48,67],"processing":[49],"morphological":[51],"tools,":[52],"presents":[53],"itself":[54],"a":[56,89,93,115,128,176],"challenging":[57,61],"problem.":[58],"Typically":[59],"these":[60],"conditions":[62],"caused":[64],"poor":[66,163],"quality,":[68],"varying":[69],"light":[70],"conditions,":[71],"similarity":[74],"between":[75,167],"code":[78,96,113],"symbols":[79,123],"grain":[83,171],"patterns.":[84],"We":[85],"aim":[86],"build":[88],"two-stage":[90],"system":[91,215],"with":[92,208,221],"Mask":[94],"R-CNN-based":[95],"detector":[97],"Hough":[99,196],"transform-based":[100],"decoder":[101],"recognise":[103,202],"decode":[105,183],"individual":[106],"instances":[107],"codes.":[110],"Each":[111],"on":[114,194],"consists":[117],"two":[119],"parts:":[120],"several":[121],"arrow":[122,219],"different":[125],"orientations":[126],"reference":[129,156,212],"bar":[130,157],"symbol.":[131],"Our":[132,214],"detection":[133,199],"model":[134],"correctly":[135,216],"segmented":[136,226],"identified":[138],"all":[139,142],"arrows":[140,207],"76":[144],"images":[145,160],"our":[147],"test":[148],"set.":[149],"However,":[150],"it":[151],"failed":[152],"find":[154],"some":[159],"due":[161],"punching":[164],"or":[165],"ambiguity":[166],"background":[169],"patterns":[172],"symbols,":[175],"critical":[177],"feature":[178],"being":[180],"able":[181],"symbols.":[185],"In":[186],"stage":[187],"2,":[188],"we":[189],"used":[190],"an":[191],"approach":[192],"based":[193],"transform":[197],"line":[198],"method":[200],"orientation":[204],"respect":[209],"bar.":[213],"recognised":[217],"direction":[220],"87%":[222],"accuracy":[223],"images.":[227]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}