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Lu, Tan, Dooms, Ann (2021) Bayesian damage recognition in document images based on a joint global and local homogeneity model. Pattern Recognition, 118. 108034pp. doi:10.1016/j.patcog.2021.108034

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Reference TypeJournal (article/letter/editorial)
TitleBayesian damage recognition in document images based on a joint global and local homogeneity model
JournalPattern Recognition
AuthorsLu, TanAuthor
Dooms, AnnAuthor
Year2021 (October)Volume118
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2021.108034Search in ResearchGate
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Mindat Ref. ID13114920Long-form Identifiermindat:1:5:13114920:7
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Full ReferenceLu, Tan, Dooms, Ann (2021) Bayesian damage recognition in document images based on a joint global and local homogeneity model. Pattern Recognition, 118. 108034pp. doi:10.1016/j.patcog.2021.108034
Plain TextLu, Tan, Dooms, Ann (2021) Bayesian damage recognition in document images based on a joint global and local homogeneity model. Pattern Recognition, 118. 108034pp. doi:10.1016/j.patcog.2021.108034
In(2021) Pattern Recognition Vol. 118. Elsevier BV

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