CN104866802B - The recognition methods of colored high-order latent image code - Google Patents
The recognition methods of colored high-order latent image code Download PDFInfo
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Abstract
The invention provides a kind of recognition methods of colored high-order latent image code, it comprises the following steps：Obtain colored high-order latent image code；Read respectively with the information code element of some colors and each color with some grades of GTGs from identification region, exported after decoding and be encoded data.Using such scheme, present invention introduces number of colours and GTG quantity, new colored high-order latent image code is redefined, the colored high-order latent image code for carrying more code information carrying breaths can be identified, so as to obtain more code information carrying breaths, information storage is big, word or image carrier can be used as to use, have very high market application value.
Description
Technical field
The present invention relates to planar bar code technology improvement, more particularly to, a kind of identification side of colored high-order latent image code
Method.
Background technology
Two-dimensional bar code/Quick Response Code (2-dimensional bar code) is by a set pattern with certain specific geometric figure
The chequered with black and white graphic recording data symbol information that rule is distributed in plane (on two-dimensional directional)；On coding dexterously
Using form " 0 " of computer-internal logical foundations, " 1 " bit stream concept, it is corresponding with binary system several using several
What body represents word numerical information, by image input device or photoelectric scanning device automatically identifying and reading to realize that information is automatic
Processing：It has some general character of barcode technology：Every kind of code system has its specific character set；Each character occupies certain width
Degree；With certain verifying function etc..Also there is the information automatic identification function to not going together and processing figure rotation to become simultaneously
Change point.
The external research to planar bar code technology starts from late 1980s, in terms of two-dimensional code symbol presentation technology research
A variety of code systems are had been developed that, common are PDF417, QR Code, Code 49, Code 16K, Code One etc..These two dimensions
The information density of code is all greatly improved than traditional one-dimension code, if PDF417 information density is one-dimension code CodeC39
More than 20 times.In terms of Quick Response Code Standardization Research, international automatic identification AEM (AIM), American Standards Association
(ANSI) the symbol standard of the code systems such as PDF417, QR Code, Code 49, Code 16K, Code One has been completed.World mark
Quasi- technical committee and International Electrotechnical Commission have also set up the bar code automatic identification technology committee (ISO/IEC/JTC1/
SC31), QR Code international standard (ISO/IEC18004 has been formulated：2000《Automatic Identification ＆ Data Collection-bar
Code sign technical specification-QR codes》), draft the Quick Response Codes such as PDF417, Code 16K, Data Matrix, Maxi Code
ISO/IEC draft standards.In terms of the development of Quick Response Code equipment development, production, equipment manufacturers' production of the state such as the U.S., Japan
Recognizing apparatus, symbol generation equipment, are widely used to all kinds of Quick Response Code application systems.Quick Response Code is as a kind of brand-new information
Storage, transmission and identification technology, many national concerns in the world have just been obtained from being born certainly.Virtue Japan and other countries,
Planar bar code technology is not only applied to the management of the department to all kinds of certificates such as public security, diplomacy, military affairs, and by Quick Response Code application
In departments such as management of the departments such as customs, the tax to all kinds of forms and bill, business, communications and transportation to commodity and cargo transport
Management, management, field of industrial production automatic management to industrial production line of the postal service to parcel post.
Research of the China to planar bar code technology starts from 1993.Article Numbering Center of China is to several conventional Quick Response Codes
PDF417, QR Code, Data Matrix, Maxi Code, Code49, Code 16K, Code One technical specification are carried out
Translation and follow-up study.With the constantly improve of China market economy and developing rapidly for information technology, it is domestic to Quick Response Code this
The demand of one new technology is growing day by day.Article Numbering Center of China is in former China State Bureau of Quality and Technical Supervision and national departments concerned
Under supporting energetically, the research to planar bar code technology deepens continuously.On the basis of external correlation technique data is digested, two have been formulated
The national standard of individual Quick Response Code：Quick Response Code grid matrix code (SJ/T 11349-2006) and Quick Response Code close matrix code (SJ/
T11350-2006), so that the research and development that China has the Quick Response Code of technology with proprietary intellectual property rights be greatly facilitated.
Provide some Back ground Informations of Quick Response Code relevant criterion again below.Correction graph (Alignment Pattern) is
A fixed reference figure for establishing matrix notation position, decoding software can have moderate damage by it in image
In the case of bad, the coordinate image of image module is resynchronized.Character count designator (Character Count Indicator)
It is the bit sequence for defining the data string length under a certain pattern.ECI designators (ECI designator) are usually 6 bit digitals,
For identifying specific ECI tasks.Coding region (encoding region) is not taken in symbol by functional graphic,
The region that data or error correction code word can be encoded.Expand and explain (Extended Channel Interpretation
(ECI) it is) in some code systems, allows output stream the agreement for having the explanation different from default character set.Format information
(Format Information) is a kind of functional graphic, and it includes the symbol error-correction level used and the mask graph used
Information, to enter row decoding to the remainder of coding region.Functional graphic (function pattern) is used in symbol
In symbol location and the special pattern of feature recognition.Mask graph is to be used for symbol with reference to (Mask Pattern Reference)
Three bit mask graphical identifiers.Mask (masking) is in coding region, and xor operation is carried out to bitmap with mask graph,
The purpose is to make the dark balanced proportion with light module number in symbol, and reduce the figure that influence image is quickly handled and go out
It is existing.Pattern (mode) is the method that specific character set is expressed as to bit string.Mode indicators (Mode Indicator) are usual
For 4 bit identifiers, the coding mode used in subsequent data sequence is indicated.Position sensing figure (Position Detection
Pattern) it is one of three identical figures of composition view finding figure.Section (segment) is with same ECI or coding mode volume
The data sequence of code.Separator (Separator) is the functional graphic being all made up of light module, and width is a module,
For the remainder of position sensing figure and symbol to be separated.Full stop (Terminator) is to show data bit for sign-off table
The bitmap of stream.It is typically the dark figure to interlock with light module to position figure (Timing Pattern), is easy to determine symbol
The coordinate of middle module.
With the development of technology, Quick Response Code has been used widely.But Quick Response Code is typically only capable to accommodate more than 1,000
Byte, such as 500 Chinese characters or so, the small deficiency of existence information amount of storage, and due to its rule limitation, cause to expand
The maximum capacity of appearance is no more than the square number of existing capacity.And as the development of the barcode scanning hardware such as mobile phone, camera technique can
Enough obtain fine image.Therefore, the prior art is defective, it is necessary to improve.
The content of the invention
The technical problems to be solved by the invention are to provide a kind of recognition methods of new colored high-order latent image code.
Technical scheme is as follows：A kind of recognition methods of colored high-order latent image code, it comprises the following steps：
Obtain colored high-order latent image code；Read from identification region respectively with some colors and each color with some grades of GTGs
Information code element, exported after decoding and be encoded data.
Preferably, obtain colored high-order latent image code also includes step afterwards：Denoising.
Preferably, the denoising is carried out using mean filter.
Preferably, the denoising is carried out using geometric mean filtering.
Preferably, the denoising is carried out using smothing filtering.
Preferably, the denoising is carried out using nonlinear smoothing filtering.
Preferably, the GTG quantity is parsed according to the number of colours.
Preferably, unique GTG quantity is parsed according to the number of colours.
Preferably, its GTG quantity is parsed to each color in the number of colours.
Preferably, according to the square root round numbers of the number of colours as the GTG quantity.
Using such scheme, present invention introduces number of colours and GTG quantity, and it is stealthy to have redefined new colored high-order
Image code, the colored high-order latent image code for carrying more code information carrying breaths can be identified, so as to obtain more code information carrying breaths,
Information storage is big, word or image carrier can be used as to use, have very high market application value.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of one embodiment of recognition methods of the present invention.
Embodiment
For the ease of understanding the present invention, below in conjunction with the accompanying drawings and specific embodiment, the present invention will be described in more detail.
But the present invention can be realized using many different forms, however it is not limited to the embodiment described by this specification.Need
It is bright, when element is referred to as " being fixed on " another element, it can directly on another element or there may also be
Element placed in the middle.When an element is considered as " connection " another element, it can be directly to another element or
Person may be simultaneously present centering elements.
Unless otherwise defined, technology all used in this specification and scientific terminology are led with belonging to the technology of the present invention
The implication that the technical staff in domain is generally understood that is identical.Used term is simply in the description of the invention in this specification
The purpose of description specific embodiment, it is not intended to the limitation present invention.Term used in this specification " and/or " include one
The arbitrary and all combination of individual or multiple related Listed Items.
As shown in figure 1, one embodiment of the present of invention is, a kind of recognition methods of colored high-order latent image code, it is wrapped
Include following steps：Obtain colored high-order latent image code；From identification region read respectively with some colors and each color with
The information code element of some grades of GTGs, exported after decoding and be encoded data.For example, after obtaining colored high-order latent image code, it is
The identification region parsing GTG quantity of colored high-order latent image code；For example, obtain no notable positioning area or significantly positioning
The colored high-order latent image code of mark；That is, without existing Quick Response Code be commonly used in three of positioning it is small square.And for example, far
Journey obtains colored high-order latent image code；And for example, the information code element respectively with some grades of GTGs, solution are remotely read from identification region
Output is encoded data after code.And for example, output is encoded data to default terminal after decoding.And for example, share after decoding and be encoded
Data, such as by network sharing, and for example, shared by mobile terminal.
For example, the location information or positioning mark of colored high-order latent image code are obtained from the information area of identification region；
For example, the information area of identification region has the positioning mark of some pixel compositions, to identify the colored high-order latent image
Code；And for example, described information area includes correction graph, such as its fixed reference picture being used to establish matrix notation position
Shape, decoding software by it in the case where image has moderate damage, can resynchronize the coordinate image of image module；Again
Such as, described information area also includes coding region, such as is not taken by functional graphic, and data or error correction code word can be compiled
The region of code.It should be noted that the existing planar bar code technology such as character count designator, ECI designators, separator, full stop,
It is arranged at the identification region, will not be described here, of the invention and its each embodiment only for each inventive point, each embodiment and
Its correlation technique feature is described in detail.And for example, identification region or the described information area or described information symbol include fixed
Position area, wherein, the positioning area is non-specific to offend the eye setting, i.e. itself and described information area or the expression-form phase of described information symbol
With or it is close, be unlikely to obstruction and view and admire, such as the positioning area and described information area are partial graphical or image, preferably
, the positioning area has the positioning mark of some pixel compositions, to identify.Preferably, the positioning area is arranged at described
In the information area.
Preferably, during the colored high-order latent image code of the acquisition, including step：Obtain two-dimensional signal.For example, obtain two
The image information of dimension.Preferably, the two-dimensional signal includes two dimensional image.Preferably, the two-dimensional signal includes three dimensions
Two dimensionization image；For example, being taken pictures to three dimensions, a 2-dimentional photo, the two dimensionization figure of as described three dimensions are obtained
Picture.
Preferably, after the acquisition GTG two-dimensional signal, in addition to step：Judge whether colored high-order latent image
Code, it is that the information code element respectively with some grades of GTGs is then read from identification region.For example, colour is judged whether according to identification region
High-order latent image code, it is that the information code element respectively with some grades of GTGs is then read from identification region.And for example, according to identification region
Specific mark, or the information area of identification region judges whether colored high-order latent image code, is then to be read from identification region
Respectively there is the information code element of some grades of GTGs.And for example, the location information in the information area of identification region or in the information area
In positioning area, judge whether colored high-order latent image code, be that the letter respectively with some grades of GTGs is then read from identification region
Cease symbol.
Preferably, after the acquisition two-dimensional signal, in addition to step：Identification region is determined, then judges whether colour
High-order latent image code.Preferably, colored high-order latent image code is judged whether according to the positioning area of the identification region.With/
Or, colored high-order latent image code is judged whether according to the information area of the identification region.Preferably, the determination cog region
Domain, including determine positioning area and the information area of the identification region, or, determine the information area of the identification region and therein
Positioning area or positioning mark；Or determine positioning area in the information code element of the identification region or positioning mark.Preferably,
In the determination identification region, the positioning area is determined by row, for example, often row sets a positioning area.And for example, the determination
Identification region, only include the information area for determining the identification region；So, the colored high-order of no obvious positioning area can be obtained
Latent image code, for example, the lattice at three angles of existing Quick Response Code.Preferably, described information area sets the positioning area；
And for example, described information symbol sets the positioning area.Preferably, each described information symbol sets a positioning area；Or
Some described information symbols share a positioning area, for example, there is 300 information code elements, are divided into 3 groups, are shared per group information symbol
One positioning area, share 3 positioning areas；Or whole described information symbols share a positioning area, for example, described
The upper left corner, the lower left corner, the upper right corner or the lower right corner of identification region set the positioning area, and whole described information symbols share institute
State positioning area.So, the capacity of colored high-order latent image code can be increased.
Preferably, the information code respectively with some grades of GTGs is read from identification region according to the shape of described information symbol
Member.For example, described information symbol is shaped as rectangle.Preferably, described information symbol be shaped as it is square.Preferably, it is described
The size of information code element is set according to GTG quantity.For example, the size of described information symbol is directly proportional to GTG quantity, and for example,
Ratio determines according to default experience ratio table.And for example, the size of described information symbol is determined according to the identification region.For example,
Identification region is square, and it is individual square to be classified as x2；For example, the identification region is 3*3 square centimeters, 9 sides are classified as
Shape, the size of each square as described information symbol, i.e., 1 square centimeter；And for example, be classified as 36 it is square, it is each square
The as size of described information symbol, i.e., 0.25 square centimeter.These corresponding relations only need to be pre-set.And for example, root is gone back
The size of described information symbol is determined according to number of colours.For example, the size of described information symbol is inversely proportional with the number of colours,
The number of colours is bigger, and described information symbol is smaller.Preferably, described information symbol is determined always according to the GTG quantity
Size.For example, the size of described information symbol is inversely proportional with the GTG quantity, the GTG quantity is bigger, described information code
Member is smaller.So, an information code element can accommodate bigger information content.
Wherein, there are some grades of GTGs to give information code element or colored high-order latent image for some colors and each color
The number of colours of code or identification region.For example, from identification region reading is with red and black double colour and each color is with 96
The information code element of level GTG, its a total of 96*2=192 seed color；And for example, being read from identification region has red-black two kinds of bases
This color and each basic colors have the information code element of 96 grades of GTGs, its a total of 96*2=192 kinds subdivision color.Or
Person, it will be appreciated that be that, according to the number of colours and the GTG quantity, identification has some basic colors and each basic color knot
Close some grades of GTGs, so as to combine to form some colors or be sub-color or be segment color information code element.
For example, the various subdivision colors that cooperation of the color including basic color and GTG obtains, the number of colours bag
Include basic chromatic number amount.Wherein, the basic color is some basic colors, such as three basic colors of RGB, and for example, per color
Coordinate 12 GTGs, then a total of 36 kinds of colors.For example, basic color cooperatively forms the GTG of relevant rudimentary color from different GTGs
Colour system.And for example, each basic color is determined by the number of colours, i.e., described basic color is related to the number of colours.For example,
The number of colours is 3, and corresponding, the color includes 3 kinds of basic colors；And for example, the GTG quantity is 16, i.e., including 16 grades
GTG, so, a total of 48 kinds of colors of identification region of colored high-order latent image code.And for example, the number of colours is 8, institute
It is 64 to state GTG quantity, i.e., described number of colours includes 8 kinds of basic colors, and every kind of basic color has 64 grades of GTGs, totally 512 kinds of colors
Or subdivision color.And for example, the basic color according to corresponding to the basic chromatic number amount mapping table of colored image code determines number of colours,
For example, each basic chromatic number amount in the table to should quantity basic color, for example, according to number of colours and the basis of basic color
Chromatic number amount mapping table, corresponding basic color information is obtained according to number of colours, for example, number of colours is 3, it is corresponding to pre-set
3 kinds of basic color RGB, and for example, number of colours 7, corresponding 7 kinds of basic colors pre-seted, such as the yellowish green ultramarine of blood orange is purple, example
Such as, basic chromatic number amount is 8, and the corresponding 8 kinds of basic colors pre-seted, and for example, basic chromatic number amount is 8, and corresponding basic color is blood orange
Yellowish green ultramarine purple indigo；And for example, basic chromatic number amount is 64 or 128, and corresponding basic color is set by each image processing software
Related colour system, by that analogy.For example, the number of colours is 256, the GTG quantity is also 256, then a total of 65536 kinds
Color, i.e., each basic color include the color of 256 kinds of different GTGs, and each GTG is corresponding with the face of 256 kinds of basic colors of difference
Color.
When under normal circumstances, using factor of the number of colours as storage information, if number of colours is higher, follow-up
Identification process in, the requirement to hardware device is higher.Can also be only with factor of the GTG quantity as storage information, this
Shi Yanse is intended only as the form of expression of colored high-order latent image code, and its essential storage information is grey Quick Response Code, identification
When to image carry out gray processing processing, without considering color factors.
For example, parse GTG quantity for the various basic colors in the identification region of colored high-order latent image code；And for example, it is color
The identification region only configuration information area of color high-order latent image code, deposits location information in the information area；Or in the information area
Deposit positioning area.For example, parse number of colours and GTG quantity for the identification region of colored high-order latent image code；And for example, by
The number of colours determines each basic color, i.e., described basic color is related to the number of colours.And for example, it is hidden for colored high-order
Identification region parsing number of colours and the GTG quantity of shape image code.And for example, it is the identification region of colored high-order latent image code
The GTG quantity that the number of colours of parsing and colored high-order latent image code matches, for example, the GTG quantity and the color
Color quantity is equal.And for example, the identification region of the colored high-order latent image code is parsed always according to the GTG quantity.Again
Such as, the size of the identification region is adjusted flexibly according to GTG quantity.For example, the identification region and the GTG quantity are into just
Than in the present embodiment, the size of colored high-order latent image code is not a rated value, but is flexibly set according to GTG quantity
Put, the very big pictorial poster of a width can be made in practical application；Preferably, the pictorial poster is determined without what obvious, obstruction was viewed and admired
Position grid, so as to be used as colored high-order latent image code.
Preferably, when obtaining colored high-order latent image code, also by described in the shape mark determination in described information area
The shape of information code element.For example, the shape of described information symbol is set according to the GTG quantity, for example, the GTG quantity
Bigger, the edge of the shape of described information symbol is more；And for example, the GTG quantity is bigger, and the shape of described information symbol is got over
It is complicated；And for example, the shape of described information symbol has some convex portions, and the GTG quantity is bigger, the convex portion of described information symbol
It is more；Preferably, the convex portion quantity of described information symbol is equal with the GTG quantity；Preferably, each described information symbol
One positioning area is set, using the positioning area of the convex portion as described information symbol.For example, the convex portion is substantially
For pixel grid, the pixel grid on its both sides is colourless or light, and the convex portion is dark color.Preferably, according to the GTG
Quantity sets the size of described information symbol.For example, the size of described information symbol is inversely proportional with the GTG quantity, for example,
The GTG quantity is bigger, and described information symbol is smaller.
Preferably, obtain colored high-order latent image code also includes step afterwards：Denoising, it is more preferable to obtain by denoising
Recognition effect.For example, the denoising is carried out using mean filter.Preferably, the denoising is carried out using geometric mean filtering.Again
Such as, the denoising is carried out using smothing filtering.Preferably, the denoising is carried out using nonlinear smoothing filtering.Preferably, use
The mode of colored high-order latent image code is quickly continuously acquired simultaneously, similar to the continuous shooting mode that interval time is extremely short, is obtained more
Individual colored high-order latent image code, is overlapped, then performs the denoising.So, more accurately denoising effect can be obtained.
Preferably, the GTG quantity is parsed according to the number of colours.For example, GTG quantity is 8 to 256.For example, institute
State GTG quantity to be inversely proportional with the number of colours, that is to say, that number of colours is bigger, and GTG quantity is smaller；For example, the color
Color quantity is 256, and the GTG quantity is 8；And for example, the number of colours is 128, and the GTG quantity is 16；And for example, it is described
Number of colours is 64, and the GTG quantity is 32；By that analogy.So, the GTG can determine that according to the number of colours
Quantity.And for example, the GTG quantity is directly proportional to the number of colours, that is to say, that number of colours is bigger, and GTG quantity is got over
Greatly；For example, the number of colours is 8, the GTG quantity is 8；And for example, the number of colours is 16, and the GTG quantity is
16；And for example, the number of colours is 32, and the GTG quantity is 32；By that analogy.So, suitable for generating various capacity
Colored high-order latent image code.
Preferably, unique GTG quantity is parsed according to the number of colours, for example, number of colours correspond to it is unique
GTG quantity.And for example, its GTG quantity is parsed to each color in the number of colours.For example, parsing obtains the ash of red
Exponent number amount is 16, and blue GTG quantity is 8, and green GTG quantity is 24 etc..And for example, to each color of the number of colours
Identical GTG quantity is set, for example, red, blueness, the GTG quantity of green are 32.Preferably, number of colours is corresponding only
One GTG quantity, i.e., default identical GTG quantity is given tacit consent to each color of the number of colours.Preferably, the default phase
Same GTG quantity is 8 to 256.For example, the GTG quantity for giving tacit consent to each color is 25.Then, adjusted further according to input each
The GTG quantity of basic color；Such as the adjustment GTG quantity of each basic color is inputted by user, using the grey exponent number as each basic color
Amount.
Preferably, according to the square root round numbers of the number of colours as the GTG quantity.For example, the number of colors
To measure as 64, the GTG quantity is 64 square root, i.e., 8；And for example, the number of colours is 255, and the GTG quantity is 255
Square root round numbers, such as 4 houses 5 enter to round, i.e., 16；And for example round downwards, i.e., 15；By that analogy.So, institute need to only be determined
State number of colours and can determine that the GTG quantity.And for example, square that the GTG quantity is the number of colours is set；Example
Such as, the number of colours be 8, the GTG quantity be 8 square, i.e., 64；And for example, the number of colours is 10, the GTG
Quantity be 10 square, i.e., 100；By that analogy.So, it also need to only determine that the number of colours can determine that the grey exponent number
Amount, it is simple to operate easy-to-use.
In the various embodiments described above, the GTG be by it is most bright with it is most dark between brightness change, divide into several pieces.So as to
Corresponding screen intensity management and control is inputted in carrying out signal.Every digitized video all forms as combined by many points, these
Point is also known as pixel (pixels), and each usual pixel can show many different colors, and it is by red, green, blue
(RGB) three sub-pixel groups into.Each sub-pixel, the light source of its behind can show different gray scales.And
GTG is represented by most secretly to the stratum level of different brightness most bright.This intermediate level is more, the picture that can be presented
Effect is also finer and smoother.By taking 8bit panel as an example, 28 powers can be showed, equal to 256 luminance levels, then referred to as 256
GTG.Each pixel in lcd screen, combines by the red, green, blue of different luminance levels, ultimately forms different colors
Point.That is, the color change that each is put on screen, is all the ash by forming three RGB sub-pixels of this point in fact
Caused by rank change.For example, the identification region of preset images code is matrix two-dimensional barcode, and for example, using PDF417,
The code systems such as Datamatrix, QR Code, Code 49, Code 16K, Code one set the knowledge of colored high-order latent image code
The related encoding and decoding rule on other region and basis, but not with various embodiments of the present invention for positioning area, the information area and information code element
Deng extra setting mutually conflict, the difference with existing code system, be defined by the explanation of various embodiments of the present invention.Below mainly with
Illustrate various embodiments of the present invention exemplified by QR Code codes, but it is understood that, various embodiments of the present invention are equally applicable to other codes
The image code of system.For example, using QR Code codes, the identification region of preset images code.Ring is used for the ease of adaptation is various
Border, and for example, according to the number of colours of target identification ability preset images code, it includes GTG quantity, for example, setting 8 grades of ashes
Rank, 16 grades of GTGs, 64 grades of GTGs, 128 grades of GTGs, 256 grades of GTGs, 512 grades of GTGs, 1024 grades of GTGs or 2048 grades of GTGs are
To 65536 grades of GTGs etc..
It is as follows to refer to 1 dimension code information storage：
X bars black and white 1 ties up code information storage：2x；
For example, it is 1bit (21=2) that 1 black and white 1, which ties up code information storage, it is 2bit that 2 black and white 1, which tie up code information storage,
(22=4), it is 3bit (23=8) that 3 black and white 1, which tie up code information storage,.
X bar n GTGs 1 tie up code information storage：nx；
For example, 14 GTGs 1 dimension code information storage is 1bit (41=4)；24 GTGs 1 dimension code information storage is
2bit (42=16)；34 GTGs 1 dimension code information storage is 3bit (43=64).
And for example, one 10 1 dimension code information storages are as follows：
10 black and white 1 ties up code information storage：210bit information storages.
10 4 ranks 1 tie up code information storage：4810bit information storages.
10 n ranks 1 tie up code information storage：N10bit information storages.Visual information storage increases considerably.
2 dimension code information storages are expanded to again：
X bars black and white 2 ties up code information storage：2(2X)；
X bar n ranks 2 tie up code information storage：n(2X)；For example, described information area includes some square symbols；For example, using
Square 2 dimension code, then it is n (2X) that X bars n ranks 2, which tie up code information storage, and and for example, described information area includes some rectangle symbols；Example
Such as, code is tieed up using rectangle 2, then in same identification region, the long wide Y of X+, vertical and horizontal common X+Y bars n ranks colour 2 ties up the storage of code information
Measure as n (X+Y).
One 10 2 dimension code information storages are as follows for another example：
10 black and white 2 ties up code information storage：220 information storages.
10 4 ranks 2 tie up code information storage：420 information storages.
10 8 ranks 2 tie up code information storage：820 information storages.
10 n ranks 2 tie up code information storage：N20 information storages.
And for example, using color as another information recording medium, such as there are three kinds of basic colors, i.e. three primary colours, then X bars 2
It is as follows to tie up code information storage：
The rank three primary colours 2 of X bars 4 tie up code information storage：(3*4) (2X) information storage.
The rank three primary colours 2 of X bars 8 tie up code information storage：(3*8) (2X) information storage.
X bar n ranks three primary colours 2 tie up code information storage：(3*n) (2X) information storage.
And for example, using color as another information recording medium, such as there are 64 kinds of basic colors, i.e. 64 primary colours, then X bars 2
It is as follows to tie up code information storage：
The primary colours 2 of 4 rank of X bars 64 tie up code information storage：(64*4) (2X) information storage.
The primary colours 2 of 8 rank of X bars 64 tie up code information storage：(64*8) (2X) information storage.
The primary colours 2 of X bar n ranks 64 tie up code information storage：(64*n) (2X) information storage.
As can be seen here, colored high-order latent image code information storage is increased considerably, so big storage information, and it is applied
Well imagine.For example, existing 2 dimension code information storage amount only enough stores station address, its content can not be stored；And colored high-order is hidden
The information storage amount of shape image code can be large enough to store one whole book, a photo album or one section of video recording, even an electricity
Shadow.As can be seen here, colored high-order latent image code amount of storage is big, adapts to wide.
One of embodiment is that the quantity of the basic color in the number of colours is more than 64.And for example, the basic color
Quantity be more than 128.Preferably, the number of colours is more than 256.And/or the GTG quantity is more than 64.And for example,
The GTG quantity is more than 128.Preferably, the GTG quantity is more than 256.For example, the quantity of the basic color is 256
Position, the GTG quantity are 256, and color sum is 65536；For example, pre-set the number of colors in the identification region
A variety of colors that amount, the GTG quantity and both cooperations obtain；Preferably, the GTG quantity and the number of colours phase
Together.
For example, the GTG quantity in the number of colours decodes to the information area.The recognition methods of the present embodiment
Similar to the recognition methods of existing Quick Response Code, but huge difference be present with it, in of the invention and its each embodiment, gray scale is letter
The important element of symbol is ceased, is not the object ignored, and substitutes the binaryzation of existing Quick Response Code using gray processing, acquisition
It is not the gray level image of the black white image of binaryzation but gray processing.Such as carried out according to the pixel or definition for obtaining image code
Denoising；And for example, gray processing is carried out using mean value method or weighted mean method；For example, using f (i, j)=(R (i, j)+G
(i, j)+B (i, j)) the three-component brightness in/3 pairs of coloured images carries out gray processing；And for example, using f (i, j)=0.30R (i, j)
+ 0.59G (i, j)+0.11B (i, j)) gray processing is carried out to the three-component brightness in coloured image.Preferably, below connected applications
Generation method described in any embodiment, the colored high-order latent image code obtained to generation are identified.And for example, for the ease of
To the information of a large amount of contents, the information area is decoded according to GTG quantity, for example, according to the GTG quantity of information code element to letter
Breath area exports storage information after being decoded.And for example, according to 16 ranks, 32 ranks or 64 ranks, exported after being decoded to the information area
Storage information.One of embodiment is that the information area is decoded always according to the size of information code element, for example, information code element
Size for 1mm*1mm, 1mm*1.5mm, 1mm*2mm or 1.6mm*1.6mm etc..One of embodiment is, according to described
Each information code element, is decoded to the information area corresponding to GTG quantity.
In addition to GTG quantity, storage content can also be increased according to basic color, and for example, according to the number of colours
Output is encoded data after basic color and GTG quantity decoding.And for example, according to defeated after the number of colours and the decoding of GTG quantity
Go out to be encoded data.So, Quick Response Code can be multiplied or information content that image code is stored.
And for example, it is described to obtain colored high-order latent image code, including obtain stealthy with the coloured image that can recognize content
Quick Response Code, stealth therein, the witness marker of existing Quick Response Code, such as three small square frames are referred to, is hidden, is turned into stealth and see
The content loseed.One of embodiment is that the data that are encoded include chained address.Preferably, in addition to step：According to
The chained address is encoded the related storage information of data described in obtaining.And/or the data that are encoded include storage letter
Breath.For example, the data that are encoded include chained address, display image and/or storage information；And for example, it is described to be encoded data
Including display image, and chained address or storage information, wherein, the chained address is used to indicate to obtain the storage letter
Breath；And for example, the data that are encoded include display image, and chained address and storage information.Preferably, the storage information
Including text information, video information and/or audio-frequency information, for example, the video information includes static image information and/or moved
The video information of state.And for example, the data that are encoded include display image and storage information.So, can be in colored high-order
Showed in latent image code in the form of similar to display image so that color 2 D code is no longer eccentric, is difficult to manage
The mosaic figure of solution, but naked eyes can recognize and remember, substantial image, for example, the face of Yao Ming.For example, the knowledge
The information area in other region has the display image form；For example, described have the display image form, it is described information area
Shown content is similar to the display image.
One of embodiment is that the information area is decoded according to the number of colours.One of embodiment is to go back
The information area is decoded according to the size of information code element.One of embodiment is, according to identification region or the information area or
When positioning area in person's information code element is positioned, also number of colours information is obtained from positioning area.And for example, carried out according to positioning area
During positioning, also GTG quantity information is obtained from positioning area；And/or when being positioned according to positioning area, also obtain color from positioning area
The information of basic color in color quantity information.For example, in generation method, according to GTG quantity and/or basic chromatic number amount one
Individual or multiple positioning area coding generation GTG symbols and/or basic colour coding member；In recognition methods, positioned according to positioning area
When, GTG quantity and/or basic color quantity information are obtained according to GTG symbol and/or basic colour coding member also from positioning area.Example
Such as, the Quick Response Code coded system of the basic Quick Response Code, i.e. prior art of black and white is set in a positioning area, records the colour
The GTG quantity of high-order latent image code and/or basic chromatic number amount.So, can accurately, quickly obtain GTG quantity information and/
Or basic chromatic number amount, be advantageous to accurately decode information code element.
One of embodiment is, when being positioned according to positioning area, also obtains related information from positioning area, judges whether
Other associated images codes be present.For example, in generation method, at least one positioning area, which is set, accepts symbol, for recording this
Colored high-order latent image code belongs to undertaking state, and it has the stealth figure of colored high-order before and/or afterwards being associated
As code；In recognition methods, when being positioned according to positioning area, related information is obtained according to undertaking symbol also from positioning area,
Judge whether other associated images codes.Preferably, when judging there are other associated images codes, the related information is also passed through
Obtain the association link of other associated images codes.For example, when judging to have other associated images codes, always according to the undertaking symbol
And/or instruction is accepted, understand the colored high-order latent image code and also have other associated image codes before and/or afterwards.Again
Such as, the storage information of other associated images codes is also obtained from the association link.For example, the long-distance chain using the undertaking symbol
Connect as the association link, obtain image code associated there, in order to which user directly obtains related content, strengthen user
Experience.
For the ease of using and identifying, for example, the storage symbol at least one positioning area, obtains colored high-order
The GTG quantity of latent image code and/or basic chromatic number amount；And for example, the basic symbol at least one positioning area, is obtained
To GTG type and/or basic color type, colored high-order latent image is correspondingly obtained by GTG type and/or basic color type
The GTG quantity and/or basic chromatic number amount of code；And for example, the basic symbol at least one positioning area, colored height is obtained
The GTG quantity of rank latent image code and/or basic chromatic number amount.
For the ease of avoiding malice Quick Response Code from damaging user benefit, for example, also including step：According at least one positioning
Verification symbol in area or the information area, judges whether external linkage.And for example, according at least one positioning area or institute
The link symbol in the information area is stated, judges whether to access external linkage, or wait selection instruction, it is determined whether access outer chains
Connect.And for example, according to the link symbol at least one positioning area or described information area, the payment obtained in linking status carries
Wake up, judge whether to access external linkage, or wait selection instruction, it is determined whether access external linkage.
For the ease of dilatation, for example, also including step：The grey exponent number that size selection decoding always according to information code element is related to
Amount and/or number of colours.For the ease of adapting to various long monumental works, for example, also including step：The continuous multiple colored high-orders of identification
Latent image code simultaneously splices its content.And for example, identify continuous multiple colored high-order latent image codes and according to its sequential concatenation its
Content.Preferably, according to the continuous multiple colored high-order latent image codes of undertaking state recognition；And for example, it is fixed according to one or more
Undertaking symbol in the area of position, obtain it is therein accept instruction, guiding user understand before the colored high-order latent image code and/or
There are other associated image codes afterwards；And for example, the undertaking symbol in one or more positioning areas, obtain therein remote
Journey links, and obtains image code associated there, in order to which user directly obtains related content, strengthens Consumer's Experience.Preferably,
After obtaining remote linkage therein, selection instruction is waited, then obtains image code associated there；And for example, obtain and its
During associated image code, judge whether to confirm instruction, be directly to obtain the content of associated image code.
Provide one again below and preferably apply example, for example, in generation method, data to be encoded include display image
And storage information；And for example, the data to be encoded are encoded, according to the GTG quantity and/or the number of colours,
Include each letter by the display image and the multiple information code elements with some grades of GTGs of storage information generation, output
The identification region of symbol is ceased, wherein, the information area of the identification region has the display image form；For example, described have
The display image form, the content shown by described information area are similar to the display image.So, Quick Response Code, which is hidden, makees
Exist for display image, do not influence to view and admire, as described colored high-order latent image code.So, in recognition methods, reversely and
OK, according to as the colored high-order latent image code display image, its storage information is identified.
And for example, it is a kind of colored high-order latent image using any of the above-described recognition methods, another embodiment of the invention
The identification device of code, it is used to realize any of the above-described recognition methods；A kind of or identification dress of colored high-order latent image code
Put, it uses any of the above-described recognition methods to realize.For example, the identification device includes being used to realize any of the above-described recognition methods
Functional module and/or functional unit.
For example, a kind of identification device of colored high-order latent image code, it includes being used to obtain colored high-order latent image
The identification module of code, for being read from identification region respectively with the information code of some colors and each color with some grades of GTGs
The read module of member, for being decoded to obtain the decoder module for being encoded data to each described information symbol, and for defeated
Go out the output module for being encoded data.Stealth therein, refer to the witness marker of existing Quick Response Code, such as three small sides
Frame, it is hidden, turns into stealthy invisible content.So, colored high-order latent image code is obtained by identification module first；Its
It is secondary to be read by read module from identification region respectively with the information code element of some colors and each color with some grades of GTGs；
Then each described information symbol is decoded to obtain by decoder module and is encoded data；Institute is exported finally by output module
State and be encoded data.In this way, it is possible to the colored high-order latent image code for carrying more code information carrying breaths is identified, so as to obtain more
More code information carrying breaths, information storage is big, word or image carrier can be used as to use.
For example, when obtaining colored high-order latent image code, two-dimensional signal is first obtained, it is then determined that whether including colored high-order
Latent image code.Preferably, the identification module is provided for obtaining the two-dimensional signal acquiring unit of two-dimensional signal, for example, institute
Stating two-dimensional signal includes two dimensional image.Preferably, the two-dimensional signal acquiring unit includes two dimensional image acquisition subelement.Example
Such as, the two-dimensional signal includes the two dimensionization image of three dimensions；Preferably, the two-dimensional signal acquiring unit includes three-dimensional space
Between two dimensionization image obtain subelement.For example, being taken pictures to three dimensions, a 2-dimentional photo, as described three-dimensional space are obtained
Between two dimensionization image.And for example, landscape is taken pictures, obtains the photo of a conventional meaning, the two dimension of as described three dimensions
Change image.
And for example, the identification module sets the first wireless transmit/receive units, for remotely obtaining colored high-order latent image code；
And for example, the identification module and the read module are separately positioned, for example, the read module sets the second wireless receiving and dispatching list
Member, for remotely reading the information code element respectively with some grades of GTGs from identification region, obtained after being decoded by the decoder module
It is encoded data.And for example, the output module sets the 3rd wireless transmit/receive units, and it is whole to presetting to be encoded data for output
End.And for example, the output module sets the shares unit being connected with the 3rd wireless transmit/receive units, for share after decoding by
Coded data, such as by network sharing, and for example, shared by mobile terminal.And for example, the identification device also include with
The sharing module of output module connection, for as colored high-order latent image code and being shared using the identification region
Preferably, the identification module sets judging unit, for judging that the two-dimensional signal is schemed for colored high-order is stealthy
During as code, the information code element respectively with some grades of GTGs is read from identification region by the read module.That is, identification mould
Block according to its judging unit to determine two-dimensional signal be colored high-order latent image code when, then read from identification region by read module each
Information code element with some grades of GTGs.For example, the judging unit is used to judge whether that colored high-order is hidden according to identification region
Shape image code；And for example, the judging unit is used for the specific mark according to identification region, or the information area of identification region, sentences
It is disconnected whether colored high-order latent image code；And for example, the positioning that the judging unit is used in the information area according to identification region is believed
Breath or the positioning area in the information area, judge whether colored high-order latent image code.Preferably, the judging unit includes the
One judgment sub-unit and the second judgment sub-unit, first judgment sub-unit are used to judge whether the two-dimensional signal is two dimension
Code, second judgment sub-unit are used to judge whether the Quick Response Code is colored high-order latent image code；For example, identification module
Two-dimensional signal is obtained, when first judgment sub-unit judges the two-dimensional signal for Quick Response Code, judges that son is single by described second
Member judges whether the Quick Response Code is colored high-order latent image code, if so, then reading each tool from identification region by read module
There is the information code element of some grades of GTGs.
Preferably, the identification module sets the area determination unit being connected with the judging unit, for described in determination
Identification region, judge whether the two-dimensional signal is colored high-order latent image code by the judging unit.For example, the determination
Identification region, including determine positioning area and the information area of the identification region, or, determine the identification region the information area and
Positioning area therein or positioning mark；Or determine positioning area in the information code element of the identification region or positioning mark；Again
Such as, the positioning area is determined by row.For example, the area determination unit sets profile to select subelement, for selecting the knowledge
The profile in other region.So, the identification region can quickly be determined.Preferably, the region of the identification module determines
Unit connects first wireless transmit/receive units, two-dimensional signal is remotely obtained by first wireless transmit/receive units, by described
Area determination unit determines the identification region, then judges whether the two-dimensional signal is colored high-order by the judging unit
Latent image code, it is that the information code element respectively with some grades of GTGs is then read from identification region by the read module.
Preferably, the area determination unit sets positioning area determination subelement, for determining determining for the identification region
Position area, judges whether the two-dimensional signal is colored high-order latent image code by the judging unit according to the positioning area.It is excellent
Choosing, the positioning area determination subelement determines positioning area therein from the information area of the identification region.For example, the positioning
Area determination subelement sets number of colours to obtain Sun Danyuan, during for determining the positioning area, when being positioned according to positioning area,
Also number of colours information is obtained from positioning area.For example, by setting GTG quantity information in positioning area, number of colours obtains Sun Dan
The GTG quantity of member obtains subelement and obtains GTG quantity information from positioning area；And for example, by setting basic chromatic number in positioning area
Information is measured, the basic chromatic number amount that number of colours obtains Sun Danyuan obtains subelement from the basic color quantity information of positioning area acquisition.It is excellent
Choosing, the area determination unit configuration information area determination subelement, for determining the information area of the identification region, by described
Judging unit judges whether the two-dimensional signal is colored high-order latent image code according to described information area.So, when determining
When the two-dimensional signal is colored high-order latent image code, then being read by the read module from identification region respectively has some levels
The information code element of GTG.
For example, the positioning area determination subelement is used to obtain colored high-order latent image code from the information area of identification region
Location information or positioning mark；And for example, the positioning area determination subelement is used for from the identification region or described information
The positioning area of area or described information symbol obtains the location information or positioning mark of colored high-order latent image code.
Preferably, the read module sets shape identification unit, for by the shape identification unit, according to described
The shape of information code element, the information code element respectively with some grades of GTGs is read from identification region.Preferably, the shape identification list
Member includes rectangle identification subelement, for identifying the information code element of rectangle.And for example, the shape identification unit includes square identification
Subelement, for identifying square information code element.And for example, the read module sets size identification unit, for by described
Size identification unit, the information code element respectively with some grades of GTGs is read from identification region according to the size of described information symbol.
That is, the size of colored high-order latent image code is not a rated value, but flexibly set according to GTG quantity, it is actual
The very big pictorial poster of a width can be made in；Preferably, the positioning grid that the pictorial poster is viewed and admired without obvious, obstruction,
So as to be used as colored high-order latent image code.And for example, the read module sets gray scale recognition unit, for by described
Gray scale recognition unit, the information code element respectively with some grades of GTGs is read from identification region according to the GTG of described information symbol.
And for example, the read module sets basic color identification unit, for by the basic color identification unit, according to described information code
The basic color of member is read respectively with the information code element of some colors and each color with some grades of GTGs from identification region.This
Sample, using above-mentioned each functional unit, read module accurately and efficiently can be read from identification region respectively has some grades of GTGs
Information code element, it is easy to follow-up decoder module to be decoded to obtain to each described information symbol and be encoded data.And for example, size is distinguished
Know unit and combined setting with gray scale recognition unit, such as the size of described information symbol is directly proportional to GTG quantity, and for example, ratio
Determined according to default experience ratio table；Or the size of described information symbol is inversely proportional with the GTG quantity, the grey exponent number
Amount is bigger, and described information symbol is smaller.The combination of other functional units is by that analogy.So, reading can more accurately be realized
Function.
For example, the decoder module sets basic color and Gray Cell, for according to basic chromatic number amount and/or GTG quantity
The information area is decoded；For example, basic color and Gray Cell are for different basic chromatic number amount and/or different GTG quantity
Different decoding process is exported, the information area is decoded according to basic chromatic number amount and/or GTG quantity by the decoder module.
And for example, the decoder module allocation scale unit, is decoded for the size according to information code element to the information area；For example, rule
Form unit exports different decoding process for the information code element of different size, by the decoder module according to the big of information code element
It is small that the information area is decoded.Preferably, the decoder module configuration information area decoding unit, for the ash according to information code element
Exponent number amount decodes to the information area；Preferably, described information area decoding unit sets decoding subunit, for according to information code
The size of member decodes to the information area.
Preferably, the identification module sets denoising unit.Preferably, it is single to include mean filter for the denoising unit
Member.For example, the mean filter subelement includes geometric mean filtering Sun Danyuan.And/or the denoising unit includes smooth filter
Marble unit.For example, the smothing filtering subelement includes nonlinear smoothing filtering Sun Danyuan.Preferably, the identification module
Set and continuously acquire unit with what the denoising unit was connected, for quickly continuously acquiring colored high-order latent image code simultaneously,
Such as similar to interval time extremely short continuous shooting mode, multiple colored high-order latent image codes are obtained, are overlapped, then by institute
State denoising unit and perform the denoising.So, more accurately denoising effect can be obtained.Preferably, the denoising unit is set
Subelement is blurred, for carrying out the denoising using fuzzy denoising mode；And for example, the identification device also includes and the knowledge
The transport module of other module connection, for carrying out the denoising using cloud denoising mode；For example, the transport module is used in institute
After stating the colored high-order latent image code of identification module acquisition, uploaded onto the server, such as upload to internet or cloud
End, automatic comparison identify the database of server, obtain the colored high-order latent image code in the database of fine definition.This
Sample, even if obtaining the poor quality of colored high-order latent image code, fabulous denoising effect can also be realized.
Preferably, the decoder module is provided for parsing the parsing list of the GTG quantity according to the number of colours
Member.For example, the resolution unit is used for the square root round numbers according to the number of colours as the GTG quantity.And for example,
The GTG quantity is inversely proportional with the number of colours.Preferably, the resolution unit is provided for according to the number of colours
The color parsing subelement of the unique GTG quantity of parsing, for example, number of colours corresponds to unique GTG quantity.It is preferred that
, color parsing that the resolution unit is provided for parsing each color in the number of colours its GTG quantity is single
Member, for example, each color or each basic color have identical or different GTG quantity.Preferably, the parsing is single
Member is provided for parsing the GTG parsing subelement of the GTG quantity, for example, GTG parsing subelement is used for each
Kind color or each basic color, parse its GTG quantity.So, the colored high-order latent image of more colors can be identified
Code.
Preferably, the identification device also includes the link module being connected with the decoder module or the output module,
The chained address of data is encoded for basis, the related storage positioned at remote linkage of data is encoded described in acquisition and is believed
Breath.Preferably, the identification device also includes the relating module being connected respectively with the identification module, the read module, uses
In obtaining related information from positioning area, other associated images codes are judged whether, are that phase is then obtained by the identification module
The associated images code of pass.For example, the relating module sets related information acquiring unit, for being positioned according to positioning area
When, related information also is obtained from positioning area, judges whether other associated images codes.And for example, the relating module is also set up
Association link acquiring unit, it connects the related information acquiring unit, also logical when other associated images codes be present for judgement
Cross the association link that the related information obtains other associated images codes.And for example, the identification module also sets up associated data and obtained
Unit is taken, it connects the association link acquiring unit, for obtaining the storage of other associated images codes from the association link
Information.
And for example, in addition to correction verification module, for according to the verification symbol at least one positioning area, judging whether
External linkage.And for example, in addition to judging submodule, for according to the link symbol at least one positioning area, judging whether
External linkage is accessed, or waits selection instruction, it is determined whether accesses external linkage.And for example, in addition to payment prompting module, use
According to the link symbol at least one positioning area, the payment obtained in linking status is reminded, and judges whether to access outside
Link, or wait selection instruction, it is determined whether access external linkage.And for example, in addition to concatenation module, for identifying multiple companies
Continuous colored high-order latent image code simultaneously splices its content etc..Remaining functional module by that analogy, repeats no more.
Provide the embodiment of a practical application again below, using a certain personal personal photograph as the display image,
Colour 2 is obtained using above-mentioned recognition methods and ties up code, it is very much like with the personal photograph, and with some recognizable storage letters
Breath, for example, being scanned using mobile phone, according to the corresponding recognition rule of above-mentioned recognition methods, tie up from the colour 2 and can be solved again in code
Code goes out storage information, such as the information such as obtained patent of personal brief introduction, contact method, the article delivered, application of this people,
Ornamental high, application is wide.
Further, embodiments of the invention also include, and each technical characteristic of the various embodiments described above, are mutually combined what is formed
The recognition methods of colored high-order latent image code and identification device.
It should be noted that above-mentioned each technical characteristic continues to be mutually combined, the various embodiments not being enumerated above are formed,
It is accordingly to be regarded as the scope of description of the invention record；Also, for those of ordinary skills, it can add according to the above description
To improve or convert, and all these modifications and variations should all belong to the protection domain of appended claims of the present invention.
Claims (10)
1. a kind of recognition methods of colored high-order latent image code, it is characterised in that comprise the following steps：
Obtain colored high-order latent image code；During the colored high-order latent image code of the acquisition, including step：Obtain two dimension letter
Breath；After the acquisition two-dimensional signal, in addition to step：Identification region is determined, is judged according to the information area of the identification region
Whether colored high-order latent image code；Wherein, the identification region of colored high-order latent image code only configuration information area, in the information area
Middle storage location information；The determination identification region, only include the information area for determining the identification region；
Read respectively with the information code element of some colors and each color with some grades of GTGs from identification region, exported after decoding
It is encoded data.
2. recognition methods according to claim 1, it is characterised in that obtain colored high-order latent image code also includes step afterwards
Suddenly：Denoising.
3. recognition methods according to claim 2, it is characterised in that the denoising is carried out using mean filter.
4. recognition methods according to claim 3, it is characterised in that the denoising is carried out using geometric mean filtering.
5. recognition methods according to claim 2, it is characterised in that the denoising is carried out using smothing filtering.
6. recognition methods according to claim 5, it is characterised in that the denoising is carried out using nonlinear smoothing filtering.
7. the recognition methods according to any one of claim 1 to 6, it is characterised in that grey exponent number is parsed according to number of colours
Amount.
8. recognition methods according to claim 7, it is characterised in that unique GTG is parsed according to the number of colours
Quantity.
9. recognition methods according to claim 7, it is characterised in that its ash is parsed to each color in the number of colours
Exponent number amount.
10. recognition methods according to claim 7, it is characterised in that made according to the square root round numbers of the number of colours
For the GTG quantity.
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| US8931700B2 (en) * | 2011-12-23 | 2015-01-13 | Konica Minolta Laboratory U.S.A., Inc. | Four dimensional (4D) color barcode for high capacity data encoding and decoding |
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| CN103632182A (en) * | 2012-08-22 | 2014-03-12 | 天津网团科技有限公司 | Three-dimensional (3D) image code generating and analyzing methods and device thereof |
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