Publication Information

{'id': 'https://openalex.org/W2107404323', 'doi': 'https://doi.org/10.1109/83.772245', 'title': 'Two-dimensional object recognition through two-stage string matching', 'display_name': 'Two-dimensional object recognition through two-stage string matching', 'publication_year': 1999, 'publication_date': '1999-07-01', 'ids': {'openalex': 'https://openalex.org/W2107404323', 'doi': 'https://doi.org/10.1109/83.772245', 'mag': '2107404323', 'pmid': 'https://pubmed.ncbi.nlm.nih.gov/18267511'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/83.772245', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4210173141', 'display_name': 'IEEE Transactions on Image Processing', 'issn_l': '1057-7149', 'issn': ['1057-7149', '1941-0042'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319808', 'host_organization_name': 'Institute of Electrical and Electronics Engineers', 'host_organization_lineage': ['https://openalex.org/P4310319808'], 'host_organization_lineage_names': ['Institute of Electrical and Electronics Engineers'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'letter', 'type_crossref': 'journal-article', 'indexed_in': ['crossref', 'pubmed'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5101990118', 'display_name': 'Wen‐Yen Wu', 'orcid': 'https://orcid.org/0000-0002-8522-7911'}, 'institutions': [{'id': 'https://openalex.org/I98298690', 'display_name': 'I-Shou University', 'ror': 'https://ror.org/04d7e4m76', 'country_code': 'TW', 'type': 'education', 'lineage': ['https://openalex.org/I98298690']}], 'countries': ['TW'], 'is_corresponding': False, 'raw_author_name': 'None Wen-Yen Wu', 'raw_affiliation_strings': ['Department of Industrial Management, I-Shou University, Kaohsiung, Taiwan'], 'affiliations': [{'raw_affiliation_string': 'Department of Industrial Management, I-Shou University, Kaohsiung, Taiwan', 'institution_ids': ['https://openalex.org/I98298690']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5056836452', 'display_name': 'Mao‐Jiun J. Wang', 'orcid': 'https://orcid.org/0000-0002-8555-1842'}, 'institutions': [{'id': 'https://openalex.org/I25846049', 'display_name': 'National Tsing Hua University', 'ror': 'https://ror.org/00zdnkx70', 'country_code': 'TW', 'type': 'education', 'lineage': ['https://openalex.org/I25846049']}], 'countries': ['TW'], 'is_corresponding': False, 'raw_author_name': 'None Mao-Jiun J. Wang', 'raw_affiliation_strings': ['Department of Industrial Engineering, National Tsing Hua University, Hsinchu, Taiwan'], 'affiliations': [{'raw_affiliation_string': 'Department of Industrial Engineering, National Tsing Hua University, Hsinchu, Taiwan', 'institution_ids': ['https://openalex.org/I25846049']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 2, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': None, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 23, 'citation_normalized_percentile': {'value': 0.770833, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 85, 'max': 86}, 'biblio': {'volume': '8', 'issue': '7', 'first_page': '978', 'last_page': '981'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11269', 'display_name': 'Algorithms and Data Compression', 'score': 0.9997, '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'}}, 'topics': [{'id': 'https://openalex.org/T11269', 'display_name': 'Algorithms and Data Compression', 'score': 0.9997, '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'}}, {'id': 'https://openalex.org/T10627', 'display_name': 'Advanced Image and Video Retrieval Techniques', 'score': 0.9987, '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/T10824', 'display_name': 'Image Retrieval and Classification Techniques', 'score': 0.9921, '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/3-dimensional-matching', 'display_name': '3-dimensional matching', 'score': 0.47523785}], 'concepts': [{'id': 'https://openalex.org/C165064840', 'wikidata': 'https://www.wikidata.org/wiki/Q1321061', 'display_name': 'Matching (statistics)', 'level': 2, 'score': 0.77307767}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.71872145}, {'id': 'https://openalex.org/C7757238', 'wikidata': 'https://www.wikidata.org/wiki/Q374040', 'display_name': 'String searching algorithm', 'level': 3, 'score': 0.63598555}, {'id': 'https://openalex.org/C22820288', 'wikidata': 'https://www.wikidata.org/wiki/Q9050568', 'display_name': 'String metric', 'level': 4, 'score': 0.61866593}, {'id': 'https://openalex.org/C2780009758', 'wikidata': 'https://www.wikidata.org/wiki/Q6804172', 'display_name': 'Measure (data warehouse)', 'level': 2, 'score': 0.60458016}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.5671569}, {'id': 'https://openalex.org/C32610155', 'wikidata': 'https://www.wikidata.org/wiki/Q1798621', 'display_name': 'Approximate string matching', 'level': 3, 'score': 0.56288314}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.48374653}, {'id': 'https://openalex.org/C157486923', 'wikidata': 'https://www.wikidata.org/wiki/Q1376436', 'display_name': 'String (physics)', 'level': 2, 'score': 0.4806946}, {'id': 'https://openalex.org/C72545166', 'wikidata': 'https://www.wikidata.org/wiki/Q10866593', 'display_name': '3-dimensional matching', 'level': 4, 'score': 0.47523785}, {'id': 'https://openalex.org/C177264268', 'wikidata': 'https://www.wikidata.org/wiki/Q1514741', 'display_name': 'Set (abstract data type)', 'level': 2, 'score': 0.4581612}, {'id': 'https://openalex.org/C64876066', 'wikidata': 'https://www.wikidata.org/wiki/Q5141226', 'display_name': 'Cognitive neuroscience of visual object recognition', 'level': 3, 'score': 0.44928786}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.43345237}, {'id': 'https://openalex.org/C68859911', 'wikidata': 'https://www.wikidata.org/wiki/Q1503724', 'display_name': 'Pattern matching', 'level': 2, 'score': 0.4044312}, {'id': 'https://openalex.org/C2781238097', 'wikidata': 'https://www.wikidata.org/wiki/Q175026', 'display_name': 'Object (grammar)', 'level': 2, 'score': 0.3608253}, {'id': 'https://openalex.org/C61455927', 'wikidata': 'https://www.wikidata.org/wiki/Q1030529', 'display_name': 'Blossom algorithm', 'level': 3, 'score': 0.24243239}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.16145757}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.08174327}, {'id': 'https://openalex.org/C37914503', 'wikidata': 'https://www.wikidata.org/wiki/Q156495', 'display_name': 'Mathematical physics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C199360897', 'wikidata': 'https://www.wikidata.org/wiki/Q9143', 'display_name': 'Programming language', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 2, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/83.772245', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4210173141', 'display_name': 'IEEE Transactions on Image Processing', 'issn_l': '1057-7149', 'issn': ['1057-7149', '1941-0042'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319808', 'host_organization_name': 'Institute of Electrical and Electronics Engineers', 'host_organization_lineage': ['https://openalex.org/P4310319808'], 'host_organization_lineage_names': ['Institute of Electrical and Electronics Engineers'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, {'is_oa': False, 'landing_page_url': 'https://pubmed.ncbi.nlm.nih.gov/18267511', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306525036', 'display_name': 'PubMed', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I1299303238', 'host_organization_name': 'National Institutes of Health', 'host_organization_lineage': ['https://openalex.org/I1299303238'], 'host_organization_lineage_names': ['National Institutes of Health'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 11, 'referenced_works': ['https://openalex.org/W1501400124', 'https://openalex.org/W1970026646', 'https://openalex.org/W1970693654', 'https://openalex.org/W1997669059', 'https://openalex.org/W2021202955', 'https://openalex.org/W2032802336', 'https://openalex.org/W2037504142', 'https://openalex.org/W2044087814', 'https://openalex.org/W2049633569', 'https://openalex.org/W2069466710', 'https://openalex.org/W2161099143'], 'related_works': ['https://openalex.org/W3166888315', 'https://openalex.org/W2762965114', 'https://openalex.org/W2399644331', 'https://openalex.org/W2386746909', 'https://openalex.org/W2378689532', 'https://openalex.org/W2371263218', 'https://openalex.org/W2257399947', 'https://openalex.org/W2141423589', 'https://openalex.org/W2068128941', 'https://openalex.org/W2037600093'], 'abstract_inverted_index': {'A': [0], 'two-stage': [1], 'string': [2, 24, 88, 100], 'matching': [3, 32, 56, 89, 101], 'method': [4, 65], 'for': [5], 'the': [6, 43, 47, 54, 59, 67, 79, 86, 93, 98], 'recognition': [7, 80, 94], 'of': [8, 42], 'two-dimensional': [9], '(2-D)': [10], 'objects': [11], 'is': [12, 20, 29, 71], 'proposed': [13, 64], 'in': [14, 78], 'this': [15], 'work.': [16], 'The': [17, 26, 38, 63], 'first': [18], 'stage': [19, 28], 'a': [21, 30], 'global': [22, 55], 'cyclic': [23], 'matching.': [25], 'second': [27], 'local': [31, 34, 60], 'with': [33], 'dissimilarity': [35, 39, 61], 'measure': [36, 40], 'computing.': [37], 'function': [41], 'input': [44], 'shape': [45, 49], 'and': [46, 58], 'reference': [48], 'are': [50], 'obtained': [51], 'by': [52], 'combining': [53], 'cost': [57], 'measure.': [62], 'has': [66], 'advantage': [68], 'that': [69, 85], 'there': [70], 'no': [72], 'need': [73], 'to': [74, 97], 'set': [75], 'any': [76], 'parameter': [77], 'process.': [81], 'Experimental': [82], 'results': [83], 'indicate': [84], 'hostage': [87], 'approach': [90], 'significantly': [91], 'improves': [92], 'rates': [95], 'compared': [96], 'one-stage': [99], 'method.': [102]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2107404323', 'counts_by_year': [{'year': 2024, 'cited_by_count': 1}, {'year': 2023, 'cited_by_count': 1}, {'year': 2022, 'cited_by_count': 1}, {'year': 2020, 'cited_by_count': 1}, {'year': 2017, 'cited_by_count': 1}, {'year': 2016, 'cited_by_count': 1}, {'year': 2015, 'cited_by_count': 1}, {'year': 2014, 'cited_by_count': 1}, {'year': 2012, 'cited_by_count': 1}], 'updated_date': '2024-12-13T09:05:50.295271', 'created_date': '2016-06-24'}