CN203299839U - Portable apparatus capable of performing linear bar code identification - Google Patents

Abstract

The utility model discloses a portable apparatus capable of performing linear bar code identification. The portable apparatus comprises a microphone, an earphone, a radio frequency module, an antenna and a display screen. The portable apparatus further comprises an image pick-up module used for obtaining images and a bar code identification device used for performing barcode identification on the images obtained by the image pick-up module. The bar code identification device can perform bar code identification on images of different ambiguities, such that bar code identification can be performed on out-of-focus ambiguous bar codes, and therefore, the barcode identification ability of the portable apparatus can be enhanced.

Description

Can carry out the portable set of linear code identification

[technical field]

The utility model relates to linear code (linear barcode) identification field, relates in particular to a kind of portable set of carrying out linear code identification.

[background technology]

Linear code also often is called as bar code (1D barcode), and it is a plurality of secret notes and the blank that width is not waited, and according to certain coding rule, arranges, in order to express the graphical identifier of one group of information.In industry and civil area, apply very extensively at present.Common linear code comprises unified codeword value (Universal Product Code, abbreviation UPC code), European Article Numbering (European Article Number, abbreviation EAN code), Japanese goods coding (Japanese Article Number, be called for short the JAN code), Code 25, Code 39, Code 128 etc.

Bar code scan equipment commonly used is usually by module compositions such as light source (such as laser), optical lens, sensor devices (for example CCD, CMOS etc.), decode logic circuit and I/O interfaces.Simply, described light source projects light is to bar code, from the described optical lens of light transmission of bar code reflection, enter the sensor devices surface, after a series of processing such as opto-electronic conversion, analog to digital conversion, form the digital picture of bar code, then decode logic circuit is analyzed and decodes the image of picked-up.

Present bar code scan equipment is all generally special-purpose bar code scan equipment, such as the barcode scanner that is connected with retail trade system in market, the barcode scanner that is connected with book management system in library or the barcode scanner that is connected with computer system in hospital, it can collect high-quality bar code image, can comparatively be easy to realize like this decoding of bar code.

At present a lot of portable electric appts are such as mobile phone, PDA (personal digital assistant) etc. all disposes cam device, utilize described cam device user to take pictures and the application such as video.For the camera module of low configuration, such as the camera module that is present in a large amount of low and middle-end mobile phones, because being adopts tight shot (fixed-focus lens), cause the image of taking often because focusing is inaccurate, to be in fringe.Such bar code image is difficult to detect with common bar code detection techniques, also is difficult in addition confirm the position of bar code in image, and traditional bar code decoding technology also can lose efficacy due to image blurring.

Therefore, be necessary to develop and a kind ofly can overcome the problems referred to above from new departure of identification linear code video image.

[utility model content]

The technical problems to be solved in the utility model is to provide a kind of portable set of carrying out linear code identification, and it can identify the bar code in blurred picture.

In order to address the above problem, according to an aspect of the present utility model, the utility model provides a kind of portable electric appts of carrying out linear code identification, and it comprises microphone, earphone, radio-frequency module, antenna and display screen.Described portable electric appts also comprises: be used to obtaining the photographing module of image; For the image that photographing module is obtained, carry out the bar code identifying device of bar-code identification.

Further, described bar code identifying device comprises: for the image that photographing module is obtained, carry out pretreated image pretreatment module; For the Bar code positioning module of carrying out the bar code detection in pretreatment image; For in the pretreatment image that detects bar code, carrying out the Bar code positioning module of Bar code positioning; For the blur level estimation module that the pretreatment image that detects bar code is carried out to the blur level estimation; With the blur level for according to estimating, to the bar code of orienting, decode to obtain the bar code decoding module of bar code value.

Further, described bar code detection module is connected with the image pretreatment module, described blur level estimation module is connected with the bar code detection module with the image pretreatment module, described Bar code positioning module is connected with the bar code detection module, and described bar code decoding module is connected with the blur level estimation module with the Bar code positioning module.

Further, described bar code identifying device also includes the decoding authentication module that bar code value that decoding is obtained is verified.

Further, described bar code decoding module comprises: for the blur level according to estimating, from some reference characteristic vector sets, select the selected unit of standard feature vector set of a corresponding reference characteristic vector set; Based on the test feature vector extraction unit of the bar code of orienting from test feature vector corresponding to all observation bar code data characters of the described bar code of extraction image; The reference characteristic vector set decoding of selecting according to the test feature vector of extracting obtains the decoding unit of the bar code value of described bar code, wherein corresponding blur level of each reference characteristic vector set comprise some reference characteristic vectors.

Further, described bar code detection module comprises: the bar-shaped zone probe unit of the end points of at least two bar-shaped zones of search definite each bar-shaped zone in image; With the end points of each bar-shaped zone based on searching, determine whether each bar-shaped zone that searches belongs to the bar code probe unit of a bar code.

Further, described Bar code positioning module comprises: the frontier point search unit of at least two left margin points of search and at least two right margin points in image; Based on the left and right boundary point that searches, determine the border determining unit on the border, left and right of bar code.

further, near the gray-scale value of the pixel the transitional region between described blur level estimation module statistics bar-shaped zone and background area, the grey value difference of the gray-scale value statistics neighbor pixel of the pixel that utilization counts on, the grey value difference of the neighbor pixel of statistics and predetermined grey value difference threshold value are carried out the first excessive border of recently judging described transitional region and described background area and the second excessive border of described transitional region and described bar-shaped zone, calculate the width between two excessive borders of described transitional region, and determine described blur level based on the width of described transitional region.

Further, described portable electric appts is mobile phone or panel computer.

Compared with prior art, in the utility model, can carry out different processing for different blur leveles, like this can be in the situation that image blurringly still can realize being correctly decoded bar code.

About other purposes of the present utility model, feature and advantage, describe in detail in embodiment below in conjunction with accompanying drawing.

[accompanying drawing explanation]

In conjunction with reference to accompanying drawing and ensuing detailed description, the utility model will be easier to understand, structure member corresponding to same Reference numeral wherein, wherein:

Fig. 1 is the functional structure chart of an embodiment of a kind of Commodity Information Search system that the utility model proposes;

Fig. 2 shows the functional structure chart of an embodiment of the portable electric appts with bar-code identification ability that the utility model proposes;

Fig. 3 shows the functional structure chart of an embodiment of the bar code identifying device that the utility model proposes;

Fig. 4 is the bar code detection module structural representation in one embodiment in the utility model;

Fig. 5 shows the seek area in image and the relative position relation of stop area when bar-shaped zone is searched for;

Fig. 6 is the Bar code positioning module structural representation in one embodiment in the utility model;

Fig. 7 shows the example of the position of the region of search in image when frontier point is searched for;

Fig. 8 shows the gray-scale value curve example of the one-row pixels point in gray level image, be used to frontier point is described, obtains search procedure;

Fig. 9 shows the gray-scale value curve example that row pass the pixel of a bar-shaped zone, be used to the estimation procedure of blur level is described;

Figure 10 is the bar code decoding module structural representation in one embodiment in the utility model.

[embodiment]

For above-mentioned purpose of the present utility model, feature and advantage can be become apparent more, below in conjunction with the drawings and specific embodiments, the utility model is described in further detail.

Detailed description of the present utility model mainly presents by program, step, logical block, process or other symbolistic descriptions, the running of the technical scheme in its direct or indirect simulation the utility model.Affiliated those of skill in the art use herein these descriptions and statement to the others skilled in the art in affiliated field, effectively to introduce their work essence.

Alleged " embodiment " or " embodiment " refer to that special characteristic, structure or the characteristic relevant to described embodiment can be contained at least one implementation of the utility model at least herein.Different local in this manual " in one embodiment " that occur also nonessentially all refer to same embodiment, must not be yet with other embodiment mutually exclusive separately or select embodiment.In addition, the sequence of modules in method, process flow diagram or the functional block diagram of the one or more embodiment of expression also revocablely refers to any particular order, does not also form restriction of the present utility model.

The utility model proposes and utilize graphical analysis and pattern-recognition (pattern recognition) theory automatically to identify and system the linear bar code in video image (linear barcodes).This system can effectively solve the problem of detecting, location and the identification of bar code in blurred picture, thereby make the camera module that adopts tight shot also can possess the bar-code identification ability as the computer system of video image acquisition equipment, the requirement that having reduced adjusts the distance controls and to the requirement of camera module hardware configuration.

Fig. 1 shows the functional structure chart of an embodiment of a kind of Commodity Information Search system that the utility model proposes.As shown in Figure 1, described Commodity Information Search system comprises the article 102 that post linear code, the portable electric appts 104 with bar-code identification ability and the server 108 that stores Item Information.

Described article 102 can be positioned in supermarket, and these article 102 generally all post linear code.Described portable electric appts 104 can be the equipment such as smart mobile phone, regular handset, PDA (personal digital assistant) or panel computer with camera head.The bar code that the user can use described portable electric appts 104 to aim on described article 102 is taken, described portable electric appts 104 can be decoded and obtain bar code value the bar code image that obtains, and by network 106, described bar code value is sent to described server 108.In the information of goods information data storehouse that described server 108 is stored according to described bar code value, find merchandise news corresponding to this bar code value within it, and described merchandise news is fed back to described portable electric appts 104 by described network 106, the user just can view the merchandise news of these article 102 like this.Described merchandise news includes but not limited to trade name, price, date of manufacture, production firm etc.Described network 106 can be also the wireless networks such as third generation mobile network (3G), the 4th third generation mobile communication network (LTE), GPRS network or WiFi network.

Fig. 2 shows the functional structure chart of an embodiment of the portable electric appts with bar-code identification ability 104 that the utility model proposes.As shown in Figure 2, described portable electric appts 104 comprises radio-frequency module 10, master controller 20, microphone 30, earphone 40, display screen 50, photographing module 60, bar code identifying device 70 and antenna 80.Wherein radio-frequency module 10, microphone 30, earphone 40, display screen 50, photographing module 60, bar code identifying device 70 and antenna 80 all are connected with described master controller 20, and 20 pairs of connections of described master controller modules thereon manages and coordinates.Described photographing module 60 is be used to obtaining image, such as obtaining the image that includes bar code.Described photographing module 60 generally includes camera lens, sensor (CCD or CMOS) and the circuit that the image that sensor obtains is processed and the interface that is connected with master controller 20.Described bar code identifying device 70 carries out bar-code identification to obtain bar code value for the image that photographing module 60 is obtained.Described portable electric appts 104 can be sent to server 108 by radio-frequency module 10 and antenna 80 by described bar code value.

Fig. 3 shows the functional structure chart of an embodiment of the bar code identifying device 70 that the utility model proposes.As shown in the figure, described bar code identifying device 70 comprises image pretreatment module 710, bar code detection module 720, Bar code positioning module 730, blur level estimation module 740, bar code decoding module 750 and decoding authentication module 760.Wherein, described bar code detection module 720 is connected with image pretreatment module 710, described blur level estimation module 740 is connected with bar code detection module 720 with image pretreatment module 710, described Bar code positioning module 730 is connected with bar code detection module 720, and described bar code decoding module 750 is connected with blur level estimation module 740 with Bar code positioning module 730.Described decoding authentication module 760 is connected with described bar code decoding module 750.

710 pairs of images that photographing module is obtained of described image pretreatment module carry out the gray level image that pre-service is fixed size.Described bar code detection module 720 is at gray level image, carrying out the bar code detection, to determine, in gray level image, whether bar code is arranged.Described Bar code positioning module 730 is for the border, left and right of the gray level image location bar code detecting bar code.Described blur level estimation module 740 detects the blur level of the image of bar code for estimation.Described bar code decoding module 750 decodes to obtain bar code value for the blur level according to estimating to the bar code of orienting.The bar code value that 760 pairs of decodings of described decoding authentication module obtain is verified.

Fig. 4 is bar code detection module 720 structural representation in one embodiment in the utility model.As shown in Figure 4, described bar code detection module 720 comprises bar-shaped zone probe unit 721 and bar code probe unit 722.

Described bar-shaped zone probe unit 721 is searched at least two bar-shaped zones in image, and determines the end points of each bar-shaped zone.Described bar code probe unit 722 determines based on the end points of each bar-shaped zone that searches whether each bar-shaped zone that searches belongs to a bar code.

In one embodiment, described bar-shaped zone probe unit 721 is searched for a bar-shaped zone in image process comprises: in image, set seek area and stop area, as shown in Figure 5; Selected one-row pixels point in described seek area; In selected one-row pixels point, select a black pixel point as the initial black pixel and record the coordinate of this initial black pixel; From the initial black pixel, start to search for successively other black pixel point, until can not find continuous black pixel point, the coordinate of the black picture element that record searching arrives; The coordinate of the black pixel point that records is carried out curve fitting and obtains the first curve; Based on this curve, determine whether to have found one to find a bar-shaped zone, and the end points using the outermost black pixel point that records as the bar-shaped zone that finds.Described black picture element point search process comprises: described initial black pixel is recorded as to current black pixel point; Three pixels above or below current black pixel point, find the gray-scale value minimum one; Determine whether this pixel that finds is black pixel point; If this pixel that finds is black pixel point, the pixel that so this is found is searched for next black pixel point as described current black pixel point with continuation.Preferably, described bar-shaped zone probe unit 721 these first curves of statistics near each black pixel point curvature and each black pixel point to the distance of this first curve; If described curvature is no more than the first distance threshold value less than first curvature threshold value and all distances, thinks that this black region is a bar-shaped zone, otherwise think that this black region is not a bar-shaped zone.

Described bar code probe unit 722 calculates the difference of the direction of each bar-shaped zone that searches; The coordinate of the end points of the homonymy of each bar-shaped zone of searching is carried out curve fitting and obtains the second curve; Difference and/or described the second curve based on the direction of each bar-shaped zone determine whether each bar-shaped zone that searches belongs to a bar code.Preferably, near the curvature of described bar code probe unit 722 these second curves of statistics these homonymy end points, and add up the distance of these homonymy end points to this second curve; If this curvature is less than a torsion threshold value, the difference of the direction of each bar-shaped zone is no more than second an angle threshold value, the end points of the homonymy of each bar-shaped zone and utilize the distance between the second curve of this side point match to be no more than a second distance threshold value, assert that each bar-shaped zone belongs to a bar code, otherwise assert that each bar-shaped zone does not belong to a bar code.

Fig. 6 is Bar code positioning module 730 structural representation in one embodiment in the utility model.As shown in Figure 6, described Bar code positioning module 730 comprises frontier point search unit 731 and border determining unit 732.Described frontier point search unit 731 is searched at least two left margin points and at least two right margin points in image.Described border determining unit 732 is determined respectively the border, left and right of bar code based on the left and right boundary point that searches.

In one embodiment, setting search zone in image, as shown in Figure 7, described frontier point search unit 731 is searched for frontier point in described region of search.In conjunction with shown in Figure 8, the process that described frontier point search unit 731 searches a frontier point comprises: from region of search, choosing the one-row pixels point, the moving window of intended pixel width is started to move by pixel towards the second end from the first end of this row pixel, described first end can be in left end and right-hand member, and the second end is another in left end and right-hand member; According to the left pixel of the moving window in each shift position and the grey value difference of right pixel, find the first side boundary region; In described first side boundary region, find a plurality of flat pixels and a plurality of change pixel of following described flat pixels; According to described flat pixels match the first straight line, according to described change Pixel fit the second straight line; Calculate the intersection point of the first straight line and the second straight line, and the horizontal ordinate of first frontier point using the horizontal ordinate of described intersection point as this row pixel.If wherein the described first end of choosing capable pixel is left end, the first frontier point is exactly the left margin point so, if described the second end of choosing capable pixel is right-hand member, the first frontier point is exactly the right margin point so.

The homonymy frontier point that described border determining unit 732 will search fits to a curve; According to the homonymy frontier point that searches, to the Distance Judgment of the curve of its match, whether illegal frontier point is arranged, if homonymy frontier point to the distance of the curve of its match greater than the preset distance thresholding, think that this homonymy frontier point is illegal frontier point; If have, remove illegal frontier point, and remaining homonymy frontier point is fitted to a curve again, and determine border according to this curve.

in one embodiment, please shown in Figure 9 in conjunction with reference, near the gray-scale value of the pixel the transitional region between described blur level estimation module 50 statistics bar-shaped zones and background area, the grey value difference of the gray-scale value statistics neighbor pixel of the pixel that utilization counts on, the grey value difference of the neighbor pixel of statistics and predetermined grey value difference threshold value are carried out the first excessive border d1 of recently judging described transitional region and described background area and the second excessive border d2 of described transitional region and described bar-shaped zone, calculate the width between two excessive borders of described transitional region, and determine described blur level based on the width of described transitional region.

Figure 10 is bar code decoding module 750 structural representation in one embodiment in the utility model.As shown in figure 10, described bar-code decoder 750 comprises that the reference characteristic vector set selectes unit 751, test feature vector extraction unit 752 and decoding unit 753.

The selected unit 751 of described reference characteristic vector set is according to described blur level from some reference characteristic vector sets, selecting a corresponding reference characteristic vector set, and the corresponding blur level scope of each reference characteristic vector set also comprises some reference characteristic vectors.Described test feature vector extraction unit 752 is from extracting one group of test feature vector corresponding to observation bar code data character of bar code image.The test feature set of vectors that described decoding unit 753 utilizations are extracted and the reference characteristic vector set decoding of selection obtain the bar code value of described bar code.

In one embodiment, based on defined one or several standard bar code data characters of barcode types and blur level, generate a reference characteristic vector in should the reference characteristic vector set of blur level.

In one embodiment, described test feature vector extraction unit 752 is determined the position of each observation bar code data character of described bar code according to the border of described bar code, according to described bar code each observation bar code data character position from image, extracting half-tone information, and generating described test feature set of vectors based on the half-tone information that extracts, described test feature set of vectors is comprised of a plurality of test feature vectors.

In one embodiment, described decoding unit 753 carries out similarity relatively by test feature set of vectors and its some reference characteristic set of vectors corresponding in the reference characteristic vector set of selecting, determine and the highest reference characteristic set of vectors of the total similarity of described test feature set of vectors, according to the highest reference characteristic set of vectors of total similarity, determine the bar code value of described bar code.The combination of the test feature vector that all bar code data characters that described test feature set of vectors is described bar code are corresponding, described reference characteristic set of vectors is the combination of the some reference characteristic vectors in the reference characteristic vector set of selecting, and based on single similarity of the reference characteristic vector in the described reference characteristic set of vectors of the test feature vector in described test feature set of vectors, determines total similarity of described test feature set of vectors and described reference characteristic set of vectors.

In one embodiment, each reference characteristic vector in the reference characteristic set of vectors that the described decoding authentication module 760 the highest total similarities of basis and total similarity are the highest and single similarity of each test feature vector judge whether the bar code value of the described bar code that decoding obtains is credible.

concrete, described decoding authentication module 760 during greater than the first similarity threshold value, thinking that the bar code value of the described bar code that decoding obtains is credible in the highest described total similarity, in the highest described total similarity, less than the first similarity threshold value, greater than the second similarity threshold value and minimum single similarity, during greater than the 4th similarity threshold value, thinking that the bar code value of the described bar code that decoding obtains is credible, when the highest described total similarity is seemingly spent threshold value less than third phase, think that the bar code value of the described bar code that decoding obtains is insincere, in the highest described total similarity, greater than third phase, seemingly spend threshold value and during less than the 5th similarity threshold value, thinking that the bar code value of the described bar code that decoding obtains is insincere less than the second similarity threshold value and minimum single similarity, the highest described total similarity less than the first similarity threshold value greater than the second similarity threshold value and minimum single similarity less than the 4th similarity threshold value during greater than the 5th similarity threshold value, or when the highest described total similarity is seemingly spent threshold value and minimum single similarity greater than the 5th similarity threshold value less than the second similarity threshold value greater than third phase, whether determine to be decoded as the number of times of identical bar code value greater than the number of times thresholding, if, think that the bar code value of the described bar code that decoding obtains is credible, otherwise, think that the bar code value of the described bar code that decoding obtains is insincere, when the bar code value of determining described bar code is insincere, the bar code value of the described bar code that preserving decodes obtains.

Herein " and/or " expression and or or, such as A, B and/or C, comprise A, B, C, AB, AC, BC, several situations of ABC.All represent " comprising " herein " including but not limited to "." step " herein and " method " can replaced in some cases, and a step of a method also can be called as another method." some " herein are two or more, and " a plurality of " are two or more.

Above the utility model has been carried out to enough detailed description with certain singularity.Under those of ordinary skill in field should be appreciated that, the description in embodiment is only exemplary, under the prerequisite that does not depart from true spirit of the present utility model and scope, make change and all should belong to protection domain of the present utility model.The utility model scope required for protection is limited by described claims, rather than limited by the foregoing description in embodiment.

Claims (1)

1. can carry out the portable electric appts that linear code is identified for one kind, it comprises microphone, earphone, radio-frequency module, antenna and display screen, it is characterized in that, it also comprises:

For obtaining the photographing module of image;

For the image that photographing module is obtained, carry out the bar code identifying device of bar-code identification.

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