Positional detector device for a vehicular license plate
First Claim
1. A positional detector device for a license plate of a motor vehicle comprising:
- a camera member which photographs a front and rear portion of a motor vehicle so as to produce an image signal;
an A/D converter which converts the image signal into a digital image;
a positional detector member which detects a position of a lisence plate of a motor vehicle based on the digital image;
a cut-off treatment member which cuts off a specified region from an original image photographed by the camera member while scanning the original image when the motor vehicle approaches the camera member within a predetermined distance;
an edge refining treatment member which emphasizes a contour of a pattern represented by the specified region cut off from the original image;
a contraction treatment member which contracts an image size of the specified region which was treated with the edge refining treatment member;
a calculation treatment member which feeds the contracted pattern to a learned neural network so as to calculate an output value for a positional detection neural network;
a coordinate transformation member which transforms the output value of the positional detection neural network to such a scale as to meet the original image;
an addition treatment member which adds data at specified points which were multiplied by Gaussian window so as to obtain a projective addition value after carrying out the coordinate transformation; and
a distinction treatment member which recognizes a position of the license plate based on a maximum value on which the projective addition value falls.
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Accused Products
Abstract
In a positional detector device for a license plate of a motor vehicle, a camera is provided to photograph a front and rear portion of a motor vehicle so as to produce an image signal. An A/D converter converts the image signal into a digital image. A positional detector detects a position of a lisence plate of a motor vehicle based on the digital image. A cut-off treatment device cuts off a specified region from an original image photographed by the camera while scanning the original image when the motor vehicle approaches the camera member within a predetermined distance. An edge refining treatment device emphasizes a contour of a pattern represented by the specified region cut off from the original image. A contraction treatment device contracts an image size of the specified region which was treated with the edge refining treatment device. A calculation treatment device feeds the contracted pattern to a learned neural network so as to calculate an output value for a positional detection neural network. A coordinate transformation device transforms the output value of the positional detection neural network to such a scale as to meet the original image. An addition treatment device adds data at specified points which were multiplied by Gaussian window so as to obtain a projective addition value after carrying out the coordinate transformation. A distinction treatment device recognizes a position of the license plate based on a maximum value on which the projective addition value falls.
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Citations
4 Claims
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1. A positional detector device for a license plate of a motor vehicle comprising:
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a camera member which photographs a front and rear portion of a motor vehicle so as to produce an image signal;
an A/D converter which converts the image signal into a digital image;
a positional detector member which detects a position of a lisence plate of a motor vehicle based on the digital image;
a cut-off treatment member which cuts off a specified region from an original image photographed by the camera member while scanning the original image when the motor vehicle approaches the camera member within a predetermined distance;
an edge refining treatment member which emphasizes a contour of a pattern represented by the specified region cut off from the original image;
a contraction treatment member which contracts an image size of the specified region which was treated with the edge refining treatment member;
a calculation treatment member which feeds the contracted pattern to a learned neural network so as to calculate an output value for a positional detection neural network;
a coordinate transformation member which transforms the output value of the positional detection neural network to such a scale as to meet the original image;
an addition treatment member which adds data at specified points which were multiplied by Gaussian window so as to obtain a projective addition value after carrying out the coordinate transformation; and
a distinction treatment member which recognizes a position of the license plate based on a maximum value on which the projective addition value falls. - View Dependent Claims (3, 4)
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2. A positional detector device for a license plate of a motor vehicle comprising:
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a camera member which photographs a rear portion of a motor vehicle so as to produce an image signal when the motor vehicle approaches the camera member within a predetermined distance;
an A/D converter which converts the image signal into a first sized original image;
a positional detector member which detects a position of a lisence plate of a motor vehicle based on the original image;
a cut-off treatment member which cuts off a second sized region from the first sized original image photographed by the camera member while scanning the first sized original image;
an edge refining treatment member which emphasizes a contour of a pattern represented by the second sized region cut off from the first sized original image;
a contraction treatment member which contracts the second sized region into a third sized image after treated with the edge refining treatment member;
a calculation treatment member which feeds the contracted pattern of the third sized image to a learned neural network so as to calculate an output value for a positional detection neural network as a fourth sized image value;
a coordinate transformation member which projects the output value of the positional detection neural network to a positional distinction pattern, a size of which is the same as that of the first sized region, and transforming the fourth sized image value into the second sized region;
an addition treatment member which adds data at specified points which were multiplied by Gaussian window to a positional distinction pattern of the license plate so as to obtain a projective addition value after carrying out the coordinate transformation; and
a distinction treatment member which recognizes a position of the license plate based on a maximum value on which the projective addition value falls.
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Specification