JP2020144595A5 - - Google Patents
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- JP2020144595A5 JP2020144595A5 JP2019040634A JP2019040634A JP2020144595A5 JP 2020144595 A5 JP2020144595 A5 JP 2020144595A5 JP 2019040634 A JP2019040634 A JP 2019040634A JP 2019040634 A JP2019040634 A JP 2019040634A JP 2020144595 A5 JP2020144595 A5 JP 2020144595A5
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Claims (6)
前記車両を撮影した路側カメラによって得られた車両画像を受け付ける画像受付部と、
受け付けられた車両画像に対するパターンマッチングによって、受け付けられるナンバープレート情報と比較されるナンバープレート認識結果を生成する画像認識部と、
生成されたナンバープレート認識結果が、受け付けられたナンバープレート情報と一致しない場合に、受け付けられた車両画像に基づいて、パターンマッチングに用いられたパターンデータを更新するパターン学習部と
を備えるパターン学習システム。 An information reception unit that receives license plate information communicated from the vehicle's on-board unit to the roadside communication device,
An image reception unit that receives vehicle images obtained by a roadside camera that photographed the vehicle, and an image reception unit.
An image recognition unit that generates a license plate recognition result that is compared with the received license plate information by pattern matching to the received vehicle image.
A pattern learning system including a pattern learning unit that updates the pattern data used for pattern matching based on the received vehicle image when the generated license plate recognition result does not match the received license plate information. ..
前記車両画像に映っているナンバープレートの中の１つ以上の文字を検出し、検出された１つ以上の文字に対応する１つ以上の画像部分を前記車両画像から１つ以上の文字画像として切り出し、前記１つ以上の文字画像に対するパターンマッチングによって前記検出された１つ以上の文字に対応する１つ以上の文字パターンを前記パターンデータから選択し、選択された１つ以上の文字パターンによって識別される１つ以上の認識文字を示すデータを前記ナンバープレート認識結果として生成する
請求項１に記載のパターン学習システム。 The image recognition unit
One or more characters in the license plate appearing in the vehicle image are detected, and one or more image portions corresponding to the detected one or more characters are used as one or more character images from the vehicle image. One or more character patterns corresponding to the one or more characters detected by cutting out and pattern matching the one or more character images are selected from the pattern data and identified by the selected one or more character patterns. The pattern learning system according to claim 1, wherein data indicating one or more recognition characters to be generated is generated as the number plate recognition result.
前記パターン学習部は、
前記ナンバープレート認識結果に示される１つ以上の認識文字を前記ナンバープレート情報に示される文字列と比較することによって、前記１つ以上の認識文字のうち前記文字列の中の対応文字と一致しない認識文字を誤認識文字として検出し、前記誤認識文字と比較された対応文字に対応する文字パターンを前記パターンデータから選択し、選択された文字パターンを前記誤認識文字に対応する文字画像に基づいて更新する
請求項２に記載のパターン学習システム。 The license plate information indicates a character string written on the license plate of the vehicle.
The pattern learning unit
By comparing one or more recognition characters shown in the number plate recognition result with the character string shown in the number plate information, the one or more recognition characters do not match the corresponding characters in the character string. The recognized character is detected as a misrecognized character, a character pattern corresponding to the corresponding character compared with the misrecognized character is selected from the pattern data, and the selected character pattern is based on the character image corresponding to the misrecognized character. The pattern learning system according to claim 2, which is updated.
前記ナンバープレート認識結果と前記ナンバープレート情報とのそれぞれは、車両属性ごとに文字列を示し、Each of the license plate recognition result and the license plate information indicates a character string for each vehicle attribute.
前記パターン学習部は、The pattern learning unit
前記ナンバープレート認識結果から１つずつ認識文字を選択し、選択された認識文字を含む文字列の車両属性を対象属性として特定し、前記選択された認識文字を含む文字列において前記選択された認識文字の順番を示す番号を対象番号として特定し、前記ナンバープレート情報から前記対象属性の文字列を選択し、選択された文字列から前記対象番号の文字を前記対応文字として選択し、前記選択された認識文字を前記対応文字と比較し、前記選択された認識文字が前記対応文字と一致しない場合に前記選択された認識文字を前記誤認識文字として検出し、前記対応文字に対応する前記文字パターンを前記パターンデータから選択し、前記車両画像から切り出された前記１つ以上の文字画像から、前記対象属性の記載箇所から切り出された１つ以上の文字画像を選択し、選択された１つ以上の文字画像から前記対象番号の文字画像を前記誤認識文字に対応する前記文字画像として選択し、選択された前記文字パターンを前記誤認識文字に対応する前記文字画像に基づいて更新するRecognition characters are selected one by one from the number plate recognition result, the vehicle attribute of the character string including the selected recognition character is specified as the target attribute, and the selected recognition is performed in the character string including the selected recognition character. A number indicating the order of characters is specified as a target number, a character string of the target attribute is selected from the number plate information, a character of the target number is selected as the corresponding character from the selected character string, and the selected character string is selected. The recognized character is compared with the corresponding character, and when the selected recognition character does not match the corresponding character, the selected recognition character is detected as the erroneous recognition character, and the character pattern corresponding to the corresponding character is detected. Is selected from the pattern data, and one or more character images cut out from the description location of the target attribute are selected from the one or more character images cut out from the vehicle image, and one or more selected characters are selected. The character image of the target number is selected as the character image corresponding to the misrecognized character from the character image of, and the selected character pattern is updated based on the character image corresponding to the misrecognized character.
請求項３に記載のパターン学習システム。The pattern learning system according to claim 3.
画像受付部が、前記車両を撮影した路側カメラによって得られた車両画像を受け付け、
画像認識部が、受け付けられた車両画像に対するパターンマッチングによって、受け付けられるナンバープレート情報と比較されるナンバープレート認識結果を生成し、
パターン学習部が、生成されたナンバープレート認識結果が、受け付けられたナンバープレート情報と一致しない場合に、受け付けられた車両画像に基づいて、パターンマッチングに用いられたパターンデータを更新する
パターン学習方法。 The information reception department receives the license plate information communicated from the on-board unit of the vehicle to the roadside communication device,
The image reception unit receives the vehicle image obtained by the roadside camera that photographed the vehicle, and receives the image.
The image recognition unit generates a license plate recognition result to be compared with the received license plate information by pattern matching with respect to the received vehicle image.
A pattern learning method in which the pattern learning unit updates the pattern data used for pattern matching based on the received vehicle image when the generated license plate recognition result does not match the received license plate information.
前記車両を撮影した路側カメラによって得られた車両画像を受け付ける画像受付部と、
受け付けられた車両画像に対するパターンマッチングによって、受け付けられるナンバープレート情報と比較されるナンバープレート認識結果を生成する画像認識部と、
生成されたナンバープレート認識結果が、受け付けられたナンバープレート情報と一致しない場合に、受け付けられた車両画像に基づいて、パターンマッチングに用いられたパターンデータを更新するパターン学習部として、
コンピュータを機能させるためのパターン学習プログラム。 An information reception unit that receives license plate information communicated from the vehicle's on-board unit to the roadside communication device,
An image reception unit that receives vehicle images obtained by a roadside camera that photographed the vehicle, and an image reception unit.
An image recognition unit that generates a license plate recognition result that is compared with the received license plate information by pattern matching to the received vehicle image.
As a pattern learning unit that updates the pattern data used for pattern matching based on the received vehicle image when the generated license plate recognition result does not match the received license plate information.
A pattern learning program for making a computer work.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| JP2019040634A JP7061977B2 (en) | 2019-03-06 | 2019-03-06 | Pattern learning system, pattern learning method and pattern learning program |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| JP2019040634A JP7061977B2 (en) | 2019-03-06 | 2019-03-06 | Pattern learning system, pattern learning method and pattern learning program |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2020144595A JP2020144595A (en) | 2020-09-10 |
| JP2020144595A5 true JP2020144595A5 (en) | 2021-05-27 |
| JP7061977B2 JP7061977B2 (en) | 2022-05-02 |
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| JP2019040634A Active JP7061977B2 (en) | 2019-03-06 | 2019-03-06 | Pattern learning system, pattern learning method and pattern learning program |
Country Status (1)
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Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0554196A (en) * | 1991-08-22 | 1993-03-05 | Amano Corp | Number plate recognition device |
| JP2903923B2 (en) * | 1993-01-19 | 1999-06-14 | 株式会社日立製作所 | Car number recognition device |
| JPH09212789A (en) * | 1996-02-02 | 1997-08-15 | Sumitomo Electric Ind Ltd | Communication system between road and vehicle on plural-lane road |
| JP3591583B2 (en) * | 2000-11-02 | 2004-11-24 | 日本電気株式会社 | Recording medium recording license plate recognition system and batch dictionary creation / collation program |
| JP2010170207A (en) * | 2009-01-20 | 2010-08-05 | Hitachi Ltd | Vehicle monitoring system |
| JP5342275B2 (en) * | 2009-02-25 | 2013-11-13 | アマノ株式会社 | Vehicle number information reading system |
| JP2010224630A (en) * | 2009-03-19 | 2010-10-07 | Toshiba Corp | Toll collection system |
| US20180268238A1 (en) * | 2017-03-14 | 2018-09-20 | Mohammad Ayub Khan | System and methods for enhancing license plate and vehicle recognition |
| US10950124B2 (en) * | 2017-08-22 | 2021-03-16 | Q-Free Netherlands B.V. | License plate recognition |
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2019
- 2019-03-06 JP JP2019040634A patent/JP7061977B2/en active Active
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