CN101950354A - System and method for recognizing national railway wagon number information image - Google Patents
System and method for recognizing national railway wagon number information image Download PDFInfo
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Abstract
The invention discloses a system and a method for recognizing a national railway wagon number information image. The system comprises a computer, a high-definition camera and infrared positioning equipment, wherein the infrared positioning equipment comprises two infrared opposite positioning devices which are arranged at a certain distance and connected with a computer; the adjacent position of each pair of infrared opposite positioning devices is provided with the high-definition camera which is connected with the computer; and the computer is connected with an LED wagon number displayer. The automatic recognition of wagon number information and the judgment of wagon proceeding direction can be achieved through the combination of the infrared positioning equipment, the high-definition camera and the computer. The system can be matched with a track scale weighing system for use so that the informatization of train handing operation can be achieved, thereby reducing fault. And compared with the existing AEI system, the invention has higher stability and better recognition ability and is not easily affected by severe environment, and has stable operation, thereby fully improving the handling efficiency of the wagon and the accuracy of the statistical data of the wagon.
Description
Technical field
The invention belongs to state iron lorry scheduling handling technique field, relate to a kind of car number identification system and method, especially a kind of state iron lorry vehicle number information image identification system and method.
Background technology
The train haul is occupied higher proportion in the logistics of big-and-middle-sized coal, iron and steel enterprise.Under the situation of only heavy, gross weight information, just can calculate the material net weight of every joint railway carriage, so the license number recognition technology in the railway carriage weighing process is comparatively crucial at the railway carriage that obtains identical railway carriage number.
Traditional train Weighing course of work is by weighman's handwork, and field sequential is copied tare weight, the gross weight information of car number and record railway carriage, and input computer then draws the goods net weight of actual every joint railway carriage, prints then to give and unloads cargo interests and check.Speed is slow, efficient is low, error rate is high and this license number manual type is copied.
Based on above-mentioned application background, people propose train railway carriage number plate information discriminating technology, realize the license number number of copying automatically, and managing for the intellectuality identification of transportation by railroad information provides technique guarantee.The state's iron lorry car number identification system that has occurred a kind of RFID of utilization at present is called for short AEI, the AutomaticEquipment Identification that this system utilizes equipment such as RFID license number label, RFID reader device and data processing unit to finish.License number and locomotive train number information have been stored in the RFID license number label.When the vehicle that the license number label has been installed passed through the RFID reader device, vehicle number information will be read and upload to data processing unit automatically, for various systems provide license number data accurately and reliably in real time.Because state's iron lorry is mostly comparing work under the rugged environment (such as the colliery), the license number label is attached to the outside, compartment and is easy to impaired, in actual applications, often because the faults itself of the damage of state's iron lorry label or license number identification equipment reasons such as (as: magnet steel are loosening, low speed can't be started shooting) causes the license number automatic identification equipment phenomenons such as car to occur leaking number, fall.
Based on many defectives of above-mentioned existing car number identification system, present most of enterprise still continues the old mode of the manual number of copying.But along with the raising of transportation by railroad intelligent level, this manual mode can't satisfy the needs of modernized railway transportation at all, and therefore, urgent need will be developed a kind of not only durable, and the lorry car number identification system of working stability.
Summary of the invention
The objective of the invention is to overcome the shortcoming of above-mentioned prior art, a kind of state iron lorry vehicle number information image identification system and method are provided, this system captures state's iron lorry license number picture by high-definition camera, by the image of capturing of crossing is handled, number plate information on the picture is extracted and discerned, thereby obtain the lorry vehicle number information.Not only the equipment simple realization is easy for it, and working stability, operation can be realized robotization.
The objective of the invention is to solve by the following technical programs:
This state iron lorry vehicle number information image identification system, comprise computing machine, high-definition camera and infrared positioning equipment, described infrared positioning equipment comprises two infrared correlation locating devices that are connected with computing machine, the emitter of described infrared correlation locating device and receiving device are divided into the track both sides, and two described infrared correlation locating devices are apart from certain distance; The adjacent locations of every pair of described infrared correlation locating device is provided with one in order to catch the high-definition camera of compartment image on the track, the image data acquiring card connection of the output end of image of described high-definition camera and computing machine; Described computing machine also is connected with LED license number display.
More than two described infrared correlation locating devices be arranged on the track both sides of the track scale of weighing, and two described infrared correlation locating devices are located at the import and the exit position of dynamic weighing track scale respectively.
Further, be provided with the secondary light source equipment that shines towards the boxcar near the above-mentioned high-definition camera.
The present invention also proposes a kind of state's iron lorry vehicle number information image-recognizing method based on the above system, and this method is specific as follows:
When lorry process dynamic weighing track scale, after judging that by described infrared correlation locating device lorry is gone up pound fully, send image to described computing machine and capture instruction, the described high-definition camera of computer control carries out image and captures, the image that high-definition camera is captured imports computing machine into, described computing machine obtains the license number data through Flame Image Process identification; Described computer control high-definition camera is captured continuously many lorries image of advancing, analyze every pictures license board information zone, utilize license plate area pixel level projection pattern to draw the moving direction of license board information again, judge the direct of travel of lorry with this, at last license number data and direction of traffic data are deposited in the database of computing machine.
Further, in above-mentioned state's iron lorry vehicle number information image-recognizing method, the identification of the Flame Image Process of described computing machine may further comprise the steps:
1) image pre-service
At first the image that is transmitted by high-definition camera is carried out colour correction, figure image intensifying, gray processing, filtering, erosion, sharpening processing successively, remove the disturbing factor in the image, improve recognition effect to greatest extent;
2) vehicle number information location
Right side first peak value of choosing the grey level histogram that step 1) produces carries out binaryzation as threshold values to gradation of image figure, carries out inverse then successively, burn into expands and sharpening is handled; Extract the vehicle number information edge again, obtain the vehicle number information position; Coordinate figure according to horizontal projection and vertical projection extracts the license number zone;
3) image rotation
Relatively whether first zone in license number zone is consistent with last regional apex coordinate, if comparative result is inconsistent, then rotation processing done in the license number zone, compares once more after the rotation, repeatedly until the comparative result unanimity, obtains the license number image with this;
4) Character segmentation
Size according to the license number character is set a fixedly segmentation threshold earlier, seek the piece that character is arranged continuously in the license number image that obtains last going on foot then, if length is greater than segmentation threshold, think that then this piece is made up of two characters, be two character pictures with two Character segmentation; The character picture equal proportion that to cut apart zooms to suitable size;
5) character recognition
Adopt template matching method that character picture is carried out character recognition: at first character picture to be carried out binaryzation and its size is scaled the size of template in the character database, mate with all templates then, select optimum matching as a result of at last;
6) combination license number data
The single character that identifies in the step 5) is synthesized complete vehicle number information according to the Character segmentation der group of step 4).
Further, above-mentioned steps 1) when carrying out gray processing, the gradation of image value is calculated by following formula:
Y＝0.114B+0.587G+0.299R；
In the following formula, Y is a gray component; G is a green component; B is a blue component; R is a red component.
Further, above-mentioned steps 3) in rotation processing be meant image a bit rotated a certain angle with counterclockwise or clockwise direction around certain.
Further, above-mentioned steps 3) in rotation processing be that center with image is that the center counterclockwise rotates.
The present invention has following beneficial effect:
The present invention has realized the automatic identification of vehicle number information and the differentiation of vehicle direct of travel by the combination of infrared positioning equipment, high-definition camera and computing machine.This system can be used with the track scale weighing system, realized the informationization of train stevedoring fully, reduce human error, and the present invention compares with existing AEI system, have higher stability and better recognition ability, it is not easy to receive the influence of rugged surroundings, and stable equipment operation has fully improved the accuracy of the vehicle efficiency of loading and unloading and car statistics data.
Description of drawings
Fig. 1 is the layout synoptic diagram of system of the present invention; Wherein: 1 is computing machine; 2 is infrared correlation locating device; 3 is high-definition camera; 4 is the compartment.
Fig. 2 carries out the exemplary plot that gray processing is handled for the present invention to image;
Fig. 3 is the exemplary plot in the vehicle number information localization process process of the present invention;
Fig. 4 is another exemplary plot in the vehicle number information localization process process of the present invention;
The license number zone exemplary plot of Fig. 5 for extracting in the image processing process of the present invention;
Fig. 6 is the exemplary plot in the Character segmentation process of the present invention;
The character picture of Fig. 7 for being partitioned in the Character segmentation process of the present invention;
Fig. 8 is the exemplary plot of character recognition of the present invention.
Embodiment
Below in conjunction with accompanying drawing the present invention is done and to describe in further detail:
Referring to Fig. 1, state's iron lorry vehicle number information image identification system that the present invention proposes comprises computing machine 1, high-definition camera 3 and infrared positioning equipment.Wherein infrared positioning equipment comprises two infrared correlation locating devices 2 that are connected with computing machine, the emitter of this infrared correlation locating device 2 and receiving device are divided into the track both sides, when this system combines application with the track scale of weighing, two infrared correlation locating devices 2 are arranged on the track both sides of the track scale of weighing, and two described infrared correlation locating devices 2 are located at the import and the exit position of dynamic weighing track scale respectively.Connecting two infrared correlation locating devices 2 should be apart from certain distance, and this distance should be greater than the length in a joint compartment.The adjacent locations of every pair of described infrared correlation locating device 2 is provided with one in order to catch the high-definition camera 3 of compartment 4 images on the track, the image data acquiring card connection of the output end of image of high-definition camera 3 and computing machine 1; Computing machine 1 also is connected with LED license number display.In addition also can operate as normal in order to satisfy under the situation of insufficient light at night native system, near high-definition camera 3, be provided with secondary light source equipment (not shown in figure 1) towards the boxcar irradiation.
Based on above-mentioned system, the present invention also proposes a kind of state iron lorry vehicle number information image-recognizing method, when lorry process dynamic weighing track scale, after judging that by described infrared correlation locating device lorry is gone up pound fully, send image to described computing machine and capture instruction, the described high-definition camera of computer control carries out image to be captured, and the image that high-definition camera is captured imports computing machine into, described computing machine obtains the license number data through Flame Image Process identification; Described computer control high-definition camera is captured continuously many lorries image of advancing, analyze every pictures license board information zone, utilize license plate area pixel level projection pattern to draw the moving direction of license board information again, judge the direct of travel of lorry with this, at last license number data and direction of traffic data are deposited in the database of computing machine.
State's iron lorry vehicle number information image recognition processes mainly is made up of license number location and character recognition two parts, and wherein the license number location is divided into the location of image pre-service and license number; Character recognition is divided into vehicle number information rotation, Character segmentation and feature extraction and single character recognition.
Original Image Acquisition is finished by camera system in state's iron lorry vehicle number information image recognition technology.Because on-the-spot lighting condition, installed hardware position and license number are subjected to the influence of factor such as dirt, the target image that obtains, contain complicated vehicle body background and natural background information, be subjected to the influence of weather condition and motion distortion, factor such as fuzzy simultaneously, have a strong impact on the quality of obtaining image, vehicle number information location, cut apart and character recognition brings very big difficulty, so be necessary image is carried out pretreatment operation between the license number identification carrying out.Below specifically introduce the detailed process of the Flame Image Process identification of computing machine in the state of the present invention iron lorry vehicle number information image-recognizing method:
The image pre-service
Pre-service is the interfere information of eliminating in the picture, recovers valuable information, strengthens the detectability of vehicle number information and reduces the operand of car number identification system to greatest extent.
Pre-service comprises carries out processing such as colour correction, figure image intensifying, gray processing, filtering, erosion, sharpening to the original image that collects, and to overcome disturbing factor, improves recognition effect to greatest extent.Picture gray-scale map and histogram See Figure thereof.When converting coloured image to gray level image, the gradation of image value can be calculated by following formula: Y=0.114B+0.587G+0.299R; In the formula, Y is a gray component; G is a green component; B is a blue component; R is a red component.As Fig. 2 is that image is carried out the exemplary plot that gray processing is handled.
The vehicle number information location
First peak value of choosing the grey level histogram among Fig. 2 is as threshold values, the picture gray-scale map is carried out binaryzation after, carry out inverse, burn into expands and sharpening is handled, and obtains Fig. 3.
The license number zone has an image-region of comparison notable feature in the binary image, and mark sheet is present: the rectangular area of level of approximation; Wherein character string is all arranged by horizontal direction; Position in general image is comparatively fixing; Side direction pixel projection value is higher.
Adopt level and side direction pixel projection method again,, obtain vehicle number information position, district the vehicle number information edge extracting.As shown in Figure 4.
According to the coordinate figure of horizontal projection and vertical projection, extract the license number zone, see Fig. 5 for details.
Level and side direction pixel projection method:
(x, y) (x, the grey scale pixel value of y) locating is at interval [x for the expression point to suppose I in gray level image or the bianry image
1, x
2] and [y
1, y
2] in vertical integral projection function and horizontal integral projection function be expressed as S respectively
v(x) and S
h(y), then
When a certain row pixel grey scale of image average changed, this variation meeting was at S
v(x) and M
v(x) reflect on the value.In like manner, when image delegation pixel grey scale average changed, this variation meeting was at S
h(x) and M
h(x) reflect on the value.
The image rotation
Whether first zone, rotation license number zone is consistent with last regional apex coordinate, if there is certain inclination in the inconsistent license number that then illustrates of comparative result, and need be to doing the image rotation processing.The rotation of the license number image that obtains is meant image is a bit rotated a certain angle with counterclockwise or clockwise direction around certain, typically refers to around the center of image and rotate in a counter-clockwise direction.
The upper left corner of supposing image for (1eft, top), the lower right corner be (right, bottom), then arbitrfary point 00 on the image (x, y) around its center (xcenter, ycenter) be rotated counterclockwise the θ angle after, the computing formula of new coordinate position (x ', y ') is:
xcenter＝(right-left+1)/2+left
ycenter＝(bottom-top+1)/2+top
x’＝(x-xcenter)*cosθ+(y-ycenter)*sinθ+xcenter
y’＝(x-xcenter)*sinθ+(y-ycenter)*cosθ+ycenter
Employing realizes the rotation of image by the mode of row pointwise conversion, and its step is as follows:
(1) with getimage () image is saved in core buffer, and wipes original image.
(2) obtain picture altitude height, width width, and preserve the byte number linebytes that delegation's image information takies, computing formula is identical with the computing formula of mirror transformation.
(3) image is rotated conversion line by line.
(4) releasing memory image buffer.
Character segmentation
Referring to Fig. 6, the license number picture that is come out in the location carries out carrying out Character segmentation based on level, vertical projection method.Because the license number character pitch is bigger, character adhesion situation can not appear, and the method for Cai Yonging is for seeking the piece that character is arranged continuously herein, if length, thinks then that this piece is made up of two characters greater than certain threshold value, need cut apart.
Normalized.The character picture equal proportion that splits is zoomed to the 40*20 size, be complementary with the size of character picture in the template, as Fig. 7.
Character recognition
State's iron numeral proposes to finish based on the method for OCR template matching method with alphabetical this paper.
Template matches OCR identifying is: at first treat identification character and carry out binaryzation and its size is scaled the size of template in the character database, mate with all templates then, select optimum matching as a result of at last.
The principal feature of template matches is to realize simply, disturbs adaptive faculty strong and discrimination is quite high to damaged, the stain of character picture when character is more regular.We are the main method of Recognition of License Plate Characters with its usefulness for these advantages of integrated template coupling.
Template matches is one of the most representative basic skills in the image-recognizing method, it is with from image to be identified or image-region f (i, j) the certain characteristics amount and the template T (i that extract in, j) corresponding characteristic quantity compares one by one, calculate normalized simple crosscorrelation amount between them, wherein one of simple crosscorrelation amount maximum just during the expression similarity degree the highest, image can be belonged to corresponding class.Also can computed image and the template characteristic amount between distance, class under judging with minimum distance method.Yet the image image-forming condition separately that generally is used to mate there are differences, and produces bigger noise, or image makes the gray scale of image or the position of pixel change after pre-service and normalization processing.In the actual design template, be the characteristics intrinsic according to each region shape, difference between outstanding each similar zone, and factors such as noise that will be easily caused by processing procedure and displacement are all taken into account, make up template according to some based on the designed characteristic quantity of image invariant feature, just can avoid the problems referred to above.
It is the most similar to which character in the template that the method that employing is herein subtracted each other is tried to achieve character, finds the output of similarity maximum then.
The actual computation method is to get character to be matched earlier, reads the standard form character successively then and character to be matched carries out additive operation, obtain 10 operation results, looks for the numerical value maximum then, is the result who identifies.As shown in Figure 8.
Combination license number data
Character recognition is gone out single character according to the Character segmentation order, be combined into complete vehicle number information.
Claims (8)
1. state's iron lorry vehicle number information image identification system, comprise computing machine (1), high-definition camera (3) and infrared positioning equipment, it is characterized in that: described infrared positioning equipment comprises two infrared correlation locating devices (2) that are connected with computing machine, the emitter and the receiving device of described infrared correlation locating device (2) are divided into the track both sides, and two described infrared correlation locating devices (2) are apart from certain distance; The adjacent locations of every pair of described infrared correlation locating device (2) is provided with one in order to catch the high-definition camera (3) of compartment (4) image on the track, the image data acquiring card connection of the output end of image of described high-definition camera (3) and computing machine (1); Described computing machine (1) also is connected with LED license number display.
2. state according to claim 1 iron lorry vehicle number information image identification system, it is characterized in that: two described infrared correlation locating devices (2) are arranged on the track both sides of the track scale of weighing, and two described infrared correlation locating devices (2) are located at the import and the exit position of dynamic weighing track scale respectively.
3. state according to claim 1 iron lorry vehicle number information image identification system is characterized in that: be provided with the secondary light source equipment towards the boxcar irradiation near the described high-definition camera (3).
4. state's iron lorry vehicle number information image-recognizing method based on the described system of claim 1, it is characterized in that: when lorry process dynamic weighing track scale, after judging that by described infrared correlation locating device lorry is gone up pound fully, send image to described computing machine and capture instruction, the described high-definition camera of computer control carries out image and captures, the image that high-definition camera is captured imports computing machine into, and described computing machine obtains the license number data through Flame Image Process identification; Described computer control high-definition camera is captured continuously many lorries image of advancing, analyze every pictures license board information zone, utilize license plate area pixel level projection pattern to draw the moving direction of license board information again, judge the direct of travel of lorry with this, at last license number data and direction of traffic data are deposited in the database of computing machine.
5. state according to claim 4 iron lorry vehicle number information image-recognizing method is characterized in that, the Flame Image Process identification of described computing machine may further comprise the steps:
1) image pre-service
At first the image that is transmitted by high-definition camera is carried out colour correction, figure image intensifying, gray processing, filtering, erosion, sharpening processing successively, remove the disturbing factor in the image, improve recognition effect to greatest extent;
2) vehicle number information location
Right side first peak value of choosing the grey level histogram that step 1) produces carries out binaryzation as threshold values to gradation of image figure, carries out inverse then successively, burn into expands and sharpening is handled; Extract the vehicle number information edge again, obtain the vehicle number information position; Coordinate figure according to horizontal projection and vertical projection extracts the license number zone;
3) image rotation
Relatively whether first zone in license number zone is consistent with last regional apex coordinate, if comparative result is inconsistent, then rotation processing done in the license number zone, compares once more after the rotation, repeatedly until the comparative result unanimity, obtains the license number image with this;
4) Character segmentation
Size according to the license number character is set a fixedly segmentation threshold earlier, seek the piece that character is arranged continuously in the license number image that obtains last going on foot then, if length is greater than segmentation threshold, think that then this piece is made up of two characters, be two character pictures with two Character segmentation; The character picture equal proportion that to cut apart zooms to suitable size;
5) character recognition
Adopt template matching method that character picture is carried out character recognition: at first character picture to be carried out binaryzation and its size is scaled the size of template in the character database, mate with all templates then, select optimum matching as a result of at last;
6) combination license number data
The single character that identifies in the step 5) is synthesized complete vehicle number information according to the Character segmentation der group of step 4).
6. state according to claim 5 iron lorry vehicle number information image-recognizing method is characterized in that step 1) is when carrying out gray processing, and the gradation of image value is calculated by following formula:
Y＝0.114B+0.587G+0.299R；
In the following formula, Y is a gray component; G is a green component; B is a blue component; R is a red component.
7. state according to claim 5 iron lorry vehicle number information image-recognizing method is characterized in that, the rotation processing in the step 3) is meant image is a bit rotated a certain angle with counterclockwise or clockwise direction around certain.
8. state according to claim 7 iron lorry vehicle number information image-recognizing method is characterized in that, is that the center counterclockwise rotates with the center of image.
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