Euro coin nationality recognizing method based on local binary pattern
The invention discloses a euro coin nationality recognizing method based on a local binary pattern. The euro coin nationality recognizing method based on the local binary pattern comprises the following steps: step one, acquiring gray level image of a coin, extracting a to-be-detected target region...
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creator | ZHANG DONGBO ZHANG YING CHEN HONGLEI WEN DENGWEI |
description | The invention discloses a euro coin nationality recognizing method based on a local binary pattern. The euro coin nationality recognizing method based on the local binary pattern comprises the following steps: step one, acquiring gray level image of a coin, extracting a to-be-detected target region from the acquired coin image, and carrying out normalization processing on the size; step two, carrying out annular space disintegration on the target region; step three, extracting a unified rotating unchanged local binary pattern of each annular region, counting histogram distribution features of each annular region, and then assembling the annular regions according to the sequence from an inner ring to an outer ring to obtain fine coin image description features; and step four, detecting and recognizing euro coins with different currency values by respectively designing a plurality of classifiers through a support vector machine according to the different currency values. The area is used as a feature to determi |
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The euro coin nationality recognizing method based on the local binary pattern comprises the following steps: step one, acquiring gray level image of a coin, extracting a to-be-detected target region from the acquired coin image, and carrying out normalization processing on the size; step two, carrying out annular space disintegration on the target region; step three, extracting a unified rotating unchanged local binary pattern of each annular region, counting histogram distribution features of each annular region, and then assembling the annular regions according to the sequence from an inner ring to an outer ring to obtain fine coin image description features; and step four, detecting and recognizing euro coins with different currency values by respectively designing a plurality of classifiers through a support vector machine according to the different currency values. The area is used as a feature to determi</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2017</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20170531&DB=EPODOC&CC=CN&NR=106778919A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20170531&DB=EPODOC&CC=CN&NR=106778919A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG DONGBO</creatorcontrib><creatorcontrib>ZHANG YING</creatorcontrib><creatorcontrib>CHEN HONGLEI</creatorcontrib><creatorcontrib>WEN DENGWEI</creatorcontrib><title>Euro coin nationality recognizing method based on local binary pattern</title><description>The invention discloses a euro coin nationality recognizing method based on a local binary pattern. The euro coin nationality recognizing method based on the local binary pattern comprises the following steps: step one, acquiring gray level image of a coin, extracting a to-be-detected target region from the acquired coin image, and carrying out normalization processing on the size; step two, carrying out annular space disintegration on the target region; step three, extracting a unified rotating unchanged local binary pattern of each annular region, counting histogram distribution features of each annular region, and then assembling the annular regions according to the sequence from an inner ring to an outer ring to obtain fine coin image description features; and step four, detecting and recognizing euro coins with different currency values by respectively designing a plurality of classifiers through a support vector machine according to the different currency values. 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The euro coin nationality recognizing method based on the local binary pattern comprises the following steps: step one, acquiring gray level image of a coin, extracting a to-be-detected target region from the acquired coin image, and carrying out normalization processing on the size; step two, carrying out annular space disintegration on the target region; step three, extracting a unified rotating unchanged local binary pattern of each annular region, counting histogram distribution features of each annular region, and then assembling the annular regions according to the sequence from an inner ring to an outer ring to obtain fine coin image description features; and step four, detecting and recognizing euro coins with different currency values by respectively designing a plurality of classifiers through a support vector machine according to the different currency values. The area is used as a feature to determi</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | Euro coin nationality recognizing method based on local binary pattern |
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