Number recognition device, and recognition method therefor

• US 20100289897A1
• Filed: 04/20/2006
• Published: 11/18/2010
• Est. Priority Date: 05/02/2005
• Status: Abandoned Application

• Current Assignee: Calsonic Kansei Corporation
• Original Assignee: Calsonic Kansei Corporation
• Inventors: Arai, Masatoshi
• Application Number:
  US11/919,738
• Publication Number:
  US 20100289897A1
• Time in Patent Office: Days
• US Class Current: 348/148
• CPC Class Codes: G06V 20/625 License plates
• CPC Class Codes: G06V 20/63 Scene text, e.g. street names

Abstract

A number recognition device 1 includes a camera 2 for taking an image containing a number plate of a motor vehicle, and a ternarization processing part 32 for ternarizing the taken image by comparing it to circumjacent image elements and threshold values. Optimum predicted values are computed based on a brightness average and a brightness variance of the taken image, and a ternarization processing part 32 executes a ternarization process by using the predicted values of the threshold values.

Claims

1. A number recognition device comprising:

a imaging means for taking an image containing a number plate of a motor vehicle;

an image processing means for ternarizing the taken image by a comparison using threshold values and circumjacent image elements in the image; and

a threshold value predicting means for computing optimum predicted values of the threshold values based on a brightness average and a brightness variance of the taken image, wherein

the image processing means executes a ternarization process by using the predicted values of the threshold values.

2. The number recognition device according to claim 1, wherein the threshold value predicting means computes the threshold values by using a first equation and a second equation, where the first equation is defined by (a first threshold value used in a case where an image element is judged as white)=(coefficient 1×

brightness average+coefficient 2×

brightness variance+coefficient

     3) and the second equation is defined by (a second threshold value used in a case where the image element is judged as black)=(coefficient 4×

brightness average+coefficient 5×

brightness variance+coefficient

     6).

3. The number recognition device according to claim 2, wherein the first equation and the second equation are multi regression equations based on sample values from a plurality of images.

4. The number recognition device according to claim 1, further comprising:

a pattern matching means for recognizing a number, a letter and a symbol on a number plate based on a trenarized image obtained from the image, wherein the pattern matching means provides feature quantities based on histogram obtained by counting only longitudinal components and lateral components of frame line components.

5. The number recognition device according to claim 4, further comprising:

an arrangement regulation referring means for recognizing a number of the number plate by referring the number, the letter and the symbol which are recognized to an arrangement regulation of the number plate.

11. The number recognition device according to claim 2, further comprising:

a pattern matching means for recognizing a number, a letter and a symbol on a number plate based on a trenarized image obtained from the image, wherein the pattern matching means provides feature quantities based on histogram obtained by counting only longitudinal components and lateral components of frame line components.

12. The number recognition device according to claim 3, further comprising:

a pattern matching means for recognizing a number, a letter and a symbol on a number plate based on a trenarized image obtained from the image, wherein the pattern matching means provides feature quantities based on histogram obtained by counting only longitudinal components and lateral components of frame line components,

6. A number recognition method comprising the steps of:

converting an color image taken with an imaging means into a monochrome image with a multiple gray scale brightness;

computing a brightness average and a brightness variance of the image;

comparing an image element of the taken image to circumjacent image elements thereof by using the brightness average and the brightness variance;

predicting threshold values for a ternarization process which is used for classification of the image element into white, black and anchromatic color by a comparing to the threshold values; and

executing a ternarization process by using the predicted threshold values to recognize a number plate based on data on the ternarized image.

7. The number recognition method according to claim 6, wherein the threshold value predicting means computes the threshold values by using a first equation and a second equation, where the first equation is defined by (a first threshold value used in a case where an image element is judged as white)=(coefficient 1×

brightness average+coefficient 2×

brightness variance+coefficient

     3) and the second equation is defined by (a second threshold value used in a case where the image element is judged as black)=(coefficient 4×

brightness average+coefficient 5×

brightness variance+coefficient

     6).

8. The number recognition method according to claim 7, wherein the first equation and the second equation are multi regression equations based on sample values from a plurality of images.

9. The number recognition device according to claim 6, further comprising:

pattern matching is used for recognizing a number plate, where a trenarized image obtained from the image is processed so that only longitudinal components and lateral components of frame line components of a number, a letter and a symbol on the number plate are counted to obtain histogram corresponding to feature quantities.

10. The number recognition method according to claim 9, further comprising the step of:

recognizing a number of the number plate by referring the number, the letter and the symbol which are recognized to an arrangement regulation of the number plate.

13. The number recognition device according to claim 7, further comprising:

pattern matching is used for recognizing a number plate, where a trenarized image obtained from the image is processed so that only longitudinal components and lateral components of frame line components of a number, a letter and a symbol on the number plate are counted to obtain histogram corresponding to feature quantities.

14. The number recognition device according to claim 8, further comprising:

pattern matching is used for recognizing a number plate, where a trenarized image obtained from the image is processed so that only longitudinal components and lateral components of frame line components of a number, a letter and a symbol on the number plate are counted to obtain histogram corresponding to feature quantities.