KR20220052102A - Barcode recognition method for multi-lateral analyzer - Google Patents

Abstract

The present invention relates to a bar code recognition method for a multi-lateral analyzer. The bar code recognition method may comprise: a step of acquiring a plurality of strip images for determining whether a strip is present; a step of determining whether a strip is present in each slot by analyzing the plurality of strip images; a step of determining an initial location of a bar code start bit based on a result of determining whether the strip is present; and a step of determining a location of all bar code bits included in the strip and a bit value by considering the initial location of the bar code start bit.

Description

BARCODE RECOGNITION METHOD FOR MULTI-LATERAL ANALYZER

The present application relates to a barcode recognition method for a multi-lateral analyzer.

The lateral flow strip is inexpensive, easy to use, and has been used in field test methods widely accepted by both users and regulatory authorities through long-term verification, and is applied not only to clinical diagnosis but also to veterinary medicine, food and environmental science. .

The lateral flow strip uses indicators such as fluorescent dye, carbon black, and colloidal gold to visually judge whether the reaction has occurred. For quantitative analysis, the brightness signal of the signal obtained by horizontally scanning the reacted test strip is used. In addition to the target ligand for capturing the target substance, the strip usually uses a control ligand to determine whether non-specific binding or the presence or absence of a target protein is used. There are two peaks in the signal.

Quantitative testing equipment for strips mainly uses a fluorescence optical detection method, and recently, several strips are read at once in order to increase processing speed. Strips have barcodes that contain information such as analytes and calibration curves, so strip quantitative testing equipment needs a function to read them. On the other hand, for barcode recognition, it is essential to determine the barcode area.

With the recent development of open platforms and cameras for this purpose, when a high-resolution camera that is easily available is applied to bio equipment, an algorithm that recognizes barcodes by photographing all strips at once can be considered.

The technology that is the background of the present application is disclosed in Korean Patent Publication No. 10-2133752.

An object of the present application is to solve the problems of the prior art described above, and an object of the present application is to provide a barcode recognition method for a multi-side analyzer capable of recognizing the barcode of the entire strip using a camera.

The present application is to solve the problems of the prior art described above, after determining the presence or absence of a strip, the position of the start bit of the barcode is found using the template matching method, and each bit is based on the spatial resolution (dot per mm) estimated from the image. It aims to provide a barcode recognition method for a multi-lateral analyzer that can locate the

The present application is to solve the problems of the prior art described above, and an object of the present application is to provide a barcode recognition method for a multi-lateral analyzer capable of recognizing multiple barcodes within a single image acquired using an inexpensive open platform camera.

The present application is to solve the problems of the prior art described above, and to provide a barcode recognition method for a multi-lateral analyzer capable of determining whether a strip exists by distinguishing a white strip from a black tray using a fixed brightness. do.

The present application is to solve the problems of the prior art described above, and barcode recognition for a multi-lateral analyzer that can determine a barcode start bit (BSB) through template matching responses and determine the remaining bits using spatial resolution obtained through a calibration process The purpose is to provide a method.

However, the technical problems to be achieved by the embodiments of the present application are not limited to the technical problems described above, and other technical problems may exist.

As a technical means for achieving the above technical problem, the barcode recognition method according to an embodiment of the present application includes acquiring a plurality of strip images to determine whether a strip exists, analyzing the plurality of strip images, Determining whether a strip exists in each slot, determining an initial position of a barcode start bit based on a result of determining whether a strip exists, and taking into consideration the determined initial position of the barcode start bit, the entire barcode bit position included in the strip; It may include determining the value of the bit.

In addition, the deriving the initial position of the barcode start bit may include deriving the start position of the barcode using a template matching method.

In addition, the step of determining the entire barcode bit position and bit value may include deriving a plurality of bit regions included in the strip, and each bit region may be determined based on barcode width data and spatial resolution calculated during device calibration. there is.

In addition, in the determining of the entire barcode bit position and bit value, the values of a plurality of bits included in the strip may be derived, and the value of each bit may be determined using an average of the center portion of the bit area.

The above-described problem solving means are merely exemplary, and should not be construed as limiting the present application. In addition to the exemplary embodiments described above, additional embodiments may exist in the drawings and detailed description.

According to the above-described problem solving means of the present application, the barcode of the entire strip can be recognized using a camera.

According to the above-described problem solving means of the present application, after determining the presence or absence of a strip, the position of the start bit of the barcode is found using the template matching method, and the position of each bit is found based on the spatial resolution (dot per mm) estimated from the image. can

According to the above-described problem solving means of the present application, multiple barcodes can be recognized within a single image acquired using an inexpensive open platform camera.

According to the above-described problem solving means of the present application, the existence of the strip can be determined by distinguishing the white strip from the black tray using the fixed brightness.

According to the above-described problem solving means of the present application, barcode start bits (BSB) may be determined through template matching responses, and the remaining bits may be determined using spatial resolution obtained through a calibration process.

However, the effects obtainable herein are not limited to the above-described effects, and other effects may exist.

1 is a schematic configuration diagram of a barcode recognition apparatus according to an embodiment of the present application.
2 is a plurality of strip images obtained by the barcode recognition apparatus according to an embodiment of the present application.
3 is a view for explaining an initial barcode start bit position and a strip existence determining area in a barcode recognition apparatus according to an embodiment of the present application.
4 is a diagram of a template in which an object is biased at the center and at the bottom according to an embodiment of the present application.
5 is a diagram illustrating an example in which an initial barcode start bit position is erroneously arranged due to a deviation between devices from a barcode start bit according to an embodiment of the present application.
6 is a diagram illustrating a bit position and a line area for determining a bit value according to an embodiment of the present application.
7 is a diagram illustrating brightness distribution according to the presence or absence of strips in a plurality of slots according to an embodiment of the present application.
8 is a diagram illustrating a template response and a central profile when templates 'T1' (a) and 'T2' (b) are applied according to an embodiment of the present application.
9A is a diagram illustrating an erroneous peak that may be mistaken for a barcode start bit peak according to an embodiment of the present application.
9B is a diagram illustrating a brightness distribution according to a response at a barcode start bit position and a false peak according to an embodiment of the present application.
10A is a view showing each barcode bit area, a decision line, and a result according to an embodiment of the present application.
10B is a diagram illustrating a brightness distribution according to a barcode bit value determination according to an embodiment of the present application.
11 is an operation flowchart of a barcode recognition method according to an embodiment of the present application.

Hereinafter, embodiments of the present application will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art to which the present application pertains can easily carry out. However, the present application may be implemented in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present application in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout this specification, when a part is "connected" with another part, it is not only "directly connected" but also "electrically connected" or "indirectly connected" with another element interposed therebetween. "Including cases where

Throughout this specification, when a member is positioned “on”, “on”, “on”, “on”, “under”, “under”, or “under” another member, this means that a member is positioned on the other member. It includes not only the case where they are in contact, but also the case where another member exists between two members.

Throughout this specification, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated.

Each step of the barcode recognition method described below may be performed by the barcode recognition apparatus 10 .

1 is a schematic configuration diagram of a barcode recognition apparatus according to an embodiment of the present application.

Referring to FIG. 1 , the barcode recognition apparatus 10 may share data and information between the user terminal 20 and the camera 30 through a network.

According to an embodiment of the present application, the barcode recognition device 10 may recognize a barcode printed on each strip of equipment capable of quantitative analysis through fluorescence analysis of several lateral flow strips using a camera. In addition, the barcode recognition apparatus 10 may determine the presence or absence of a strip in each slot, detect the position of the start bit by a template matching method, and find the barcode area. Here, each bit area is determined using barcode design data and spatial resolution calculated during device calibration. The value of each bit may be determined by using the average of the center portion of the bit region. In this method, a determination value for determining whether a strip exists, whether a search for a start bit position is successful, and a value of each bit, etc. can be calculated from images acquired under various lighting using a Gaussian model.

Also, the barcode recognition apparatus 10 may find the position of the start bit of the barcode by using the template matching method after determining whether the strip exists. As the barcode start bit position is determined from the peak position of the template matching response, a template that can provide a more stable peak position is investigated.

On the other hand, since the deviation between the camera and the main processing head and between the processing head and the strip is unavoidable, the maximum deviation can be controlled by the main processing head, the calibration process for the relative distance between the strip and the camera and the quality assurance process. A threshold for determining the success or failure of barcode start bit recognition can be statistically evaluated taking this maximum deviation into account. Once the position of the barcode start bit in each strip is determined, the remaining bit positions can be obtained based on the barcode size and image spatial resolution obtained during the manufacturing calibration procedure.

For example, the barcode recognition apparatus 10 may perform verification by analyzing a total of 16 images including 40 strips. The image performed for verification may include a plurality of images generated in a state in which external and internal lighting conditions are different from each other. The barcode recognition device 10 showed experimental results through various experiments without failure or error (error) for successful detection of the barcode start bit and bit value.

According to an embodiment of the present application, the camera 30 may be a photographing device capable of photographing an image in which a strip is mounted in an odd slot and an image in which a strip is mounted in an even slot. The camera 30 may acquire a plurality of strip images by turning the indoor fluorescent lamp on and off once in the brightest afternoon and the darkest night to take the image pair into account for the lighting change. A total of 16 experimental images for recognition by the barcode recognition device 10 may include 40 strips. In other words, 40 strips may be included in the plurality of barcode images used for barcode recognition in the barcode recognition apparatus 10 .

According to an embodiment of the present application, the user terminal 20 may receive a barcode recognition result recognized by the barcode recognition apparatus 10 . In addition, the user terminal 20 may provide a response to the request requested by the barcode recognition apparatus 10 to the barcode recognition apparatus 10 . For example, the barcode recognition apparatus 10 may provide the user terminal 20 with a request to set the initial position of the barcode start bit and the position of the strip presence detection area. The user may input to select a request displayed on the user terminal 20 , and the user terminal 20 may provide the user input information to the barcode recognition apparatus 10 .

According to an embodiment of the present application, the barcode recognition apparatus 10 may provide a barcode recognition setting menu to the user terminal 20 . For example, the user terminal 20 may download and install an application program provided by the barcode recognition apparatus 10, and a barcode recognition setting menu may be provided through the installed application.

The barcode recognition apparatus 10 may include all kinds of servers, terminals, or devices that transmit and receive data, content, and various communication signals to and from the user terminal 20 through a network, and have functions of data storage and processing.

The user terminal 20 is a device that interworks with the barcode recognition apparatus 10 through a network, for example, a smart phone, a smart pad, a tablet PC, a wearable device, etc. PCS (Personal Communication System) , GSM (Global System for Mobile communication), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, It may be all kinds of wireless communication devices such as W-Code Division Multiple Access (W-CDMA) and Wireless Broadband Internet (Wibro) terminals and fixed terminals such as desktop computers and smart TVs.

As an example of a network for sharing information between the barcode recognition device 10 , the camera 30 and the user terminal 20 , a 3rd Generation Partnership Project (3GPP) network, a Long Term Evolution (LTE) network, a 5G network, a WIMAX (World Interoperability for Microwave Access Network, Wired and Wireless Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth Network, Wifi A network, a Near Field Communication (NFC) network, a satellite broadcasting network, an analog broadcasting network, a Digital Multimedia Broadcasting (DMB) network, etc. may be included, but are not limited thereto.

2 is a plurality of strip images obtained by the barcode recognition apparatus according to an embodiment of the present application. 3 is a view for explaining an initial barcode start bit position and a strip existence determining area in a barcode recognition apparatus according to an embodiment of the present application. 4 is a diagram of a template in which an object is biased at the center and at the bottom according to an embodiment of the present application. 5 is a diagram illustrating an example in which an initial barcode start bit position is erroneously arranged due to a deviation between devices from a barcode start bit according to an embodiment of the present application. 6 is a diagram illustrating a bit position and a line area for determining a bit value according to an embodiment of the present application. 7 is a diagram illustrating brightness distribution according to the presence or absence of strips in a plurality of slots according to an embodiment of the present application. 8 is a diagram illustrating a template response and a central profile when templates 'T1' (a) and 'T2' (b) are applied according to an embodiment of the present application. 9A is a diagram illustrating an erroneous peak that may be mistaken for a barcode start bit peak according to an embodiment of the present application. 9B is a diagram illustrating a brightness distribution according to a response at a barcode start bit position and a false peak according to an embodiment of the present application. 10A is a view showing each barcode bit area, a decision line, and a result according to an embodiment of the present application. 10B is a diagram illustrating a brightness distribution according to a barcode bit value determination according to an embodiment of the present application.

According to an embodiment of the present application, the barcode recognition apparatus 10 may acquire a plurality of strip images to determine whether a strip exists. Exemplarily referring to FIG. 2 , the barcode recognition device 10 provides an image with a strip in an even slot ((a) of FIG. 2) and an image with a strip in an odd slot ((b of FIG. 2) from the camera 30. )) can be obtained. The plurality of strip images obtained from the camera 30 may include even and odd image pairs with or without indoor fluorescent lamps to reflect the effect of external lighting changes on the strip images. For reference, the plurality of images may include images captured twice a day, once in the bright afternoon and once at night. In addition, since there may be daily fluctuations in external or internal lighting, the daily filming process was repeated for 2 days. Strips were collected and reinstalled for each image to allow for variations in barcode position that could occur between images. For example, in the plurality of strip images, 40 strips may exist among a total of 16 images having 80 slots.

According to an embodiment of the present application, the barcode recognition apparatus 10 may analyze a plurality of strip images to determine whether a strip exists. The barcode recognition device 10 may determine whether a strip is present in the slotted tray 2 . In order to determine whether a strip exists in the plurality of strip images, the barcode recognition apparatus 10 may display an initial position of a barcode start bit as a first shape and display a strip presence detection area as a second shape.

Exemplarily referring to FIG. 3 , FIG. 3 may be an image in which a strip is mounted in an even slot. The barcode recognition device 10 may display the initial position of the barcode start bit and the strip presence detection area with a green cross 3 and an orange box 4, respectively. The barcode recognition device 10 may assume that the limit of device-to-device variation is controlled within 1 mm as given in the manufacturing quality assurance process. In addition, the position of the strip may be located in a preset range (eg, 1 mm up, down, left and right) from a predefined position. In other words, the position of the strip may be positioned 1 mm up, down, left and right from a predefined position.

The second shape 4 for determining the presence or absence of a strip may be selected by a user (operator) in consideration of device deviation. In other words, the barcode recognition apparatus 10 provides a plurality of strip images to the user terminal 20 and receives user input information for selecting an area of the second shape 4 that determines whether or not a strip exists to receive a plurality of strip images. The second shape 40 may be displayed on the . In other words, the position of the orange box, which determines the presence or absence of the strip, can be manually selected to account for device variations.

On the other hand, when the barcode recognition device 10 has a difference in width (second shape, orange rectangle) between the strip and the sensing area is a first width (eg, 15.6 mm) and a second width (eg, 2 mm), respectively Errors that may occur due to manual selection can be ignored. The slotted tray 2 is anodized in black to clearly distinguish it from the white matte painted cartridge 5 . That is, if the barcode recognition apparatus 10 determines in the area of the second shape (4, orange rectangle) of FIG. 3 , it can determine whether the strip is mounted without error.

According to an embodiment of the present application, the barcode recognition apparatus 10 may determine the initial position of the barcode start bit based on the result of determining whether the strip exists. The barcode recognition apparatus 10 may derive the starting position of the barcode by using a template matching method.

Referring to FIG. 4 by way of example, FIG. 4 shows two templates that can match the barcode start bit pattern. 4A is a template T1 in which an object is biased in the center, and FIG. 4B is a template T2 in which an object is biased downward.

Referring to FIG. 4 , a black rectangle is an object area having the same size as the barcode start bit, and the brightness value of the area may be set to '0'. The size of the white background is the same as the size of the barcode start bit area, and the brightness value can be set to '1'. Fig. 4(a), i.e., 'T1' provides a peak response when the center is aligned with the barcode start bit, and in Fig. 4(b), i.e., template 'T2' marks the peak at the top center of the barcode start bit do.

Here, template matching is a method of searching for a location matching a template image in a reference image. In general, template matching can solve the translation problem, while matching rotated and scaled objects is a difficult problem. In template matching, the brightness of the image can be used as it is, or template matching can be performed by transforming it into a feature space such as edges, corner points, and frequency transformation, and a normalization process is required to be less sensitive to the brightness of the image.

Also, the slotted tray 2 is anodized in black to clearly distinguish it from the white matte painted cartridge. Therefore, by determining in the middle of the strip, it is possible to determine whether or not the strip is installed without error. Considering the device-to-device variation of the shooting location, since the center of the start bit is in the second area (4, orange rectangle), it is possible to search by matching the template of the start code in this area.

The barcode recognition device 10 examines the template matching response at the start code position and the response at the upper boundary from a plurality of images, assuming that the two classes each have a Gaussian distribution, and sets a value that minimizes the detection error. It is possible to determine a threshold value for determining whether or not.

When cross-correlation is selected as a matching measurement value, the barcode recognition device 10 may move the template pixel by pixel, multiply the image, and then sum to obtain a template response. However, since the brightness values of the object and the background area of the template are '0' and '1', respectively, Equation 1 can be applied by subtracting the average of the image intensity from the object and the entire area.

[Equation 1]

는 템플릿 응답에 해당하고,

는 템플릿에 해당하고,

는 이미지에 해당하고,

는 평균 기능을 의미할 수 있다. 또한,

및

는 전체 템플릿 영역과 이미지 영역

을 중심으로 하는 오브젝트 영역이다.here,

corresponds to the template response,

corresponds to the template,

corresponds to the image,

may mean an average function. In addition,

and

is the entire template area and image area

It is an object area centered on .

Since all regions of interest in the barcode recognition apparatus 10 are rectangular, the average of the regions can be quickly calculated using a moving average algorithm. In practice, area averaging is performed by a function called a first filter (eg, average filter) based on an algorithm commonly implemented in image processing libraries provided by most programming languages.

According to an embodiment of the present application, since the template is a black rectangle having the same shape as the black bit, a dominant peak occurs at all black bit positions, and the peak at the highest position indicates the barcode start bit. When the template 'T1' (Fig. 4(a)) is used, the peak response occurs at the center of the black bit, but the peak response is displayed at the top of the template 'T2' (Fig. 4(b)). The barcode recognition device 10 may apply a template capable of stably obtaining a barcode start bit peak among these two templates to final barcode analysis through analysis of the nature of the experimental results.

For example, the barcode recognition apparatus 10 may statistically compare a peak outside the barcode with the barcode start bit peak in order to determine a threshold value for success or failure of the barcode start bit search. Similar to determining the existence of a strip, the barcode recognition device 10 assumed that the search window from the initial barcode start bit could be misplaced by the deviation limit in the 8-neighbor direction.

Illustratively, Fig. 5 shows an example with or without (b-d) the search window in the barcode start bit. In Fig. 5, the red cross and box indicate the center of the search window and the search area, respectively. The yellow cross indicates the barcode start bit position. The barcode recognition apparatus 10 may calculate a threshold value that minimizes the classification error by assuming that both the barcode start bit and the outer peak have a Gaussian distribution. 5 shows an example in which the initial barcode start bit position is misplaced due to a deviation between the barcode start bit and the device.

The barcode recognition device 10 may assume that the deviation limit between devices is 1 mm according to the manufacturing quality assurance process. As an example, the barcode recognition device 10 may obtain 9 template matching response images by searching for the first barcode start bit position and 8 neighbors horizontally or vertically 1 mm from the position for each strip of each image. . Since there are 9 template responses and 40 strips for one strip in all 16 images, the barcode recognition device 10 acquires a total of 360 template matching responses to obtain a decision threshold for barcode start bit search success. and can be evaluated statistically.

According to an embodiment of the present application, the barcode recognition apparatus 10 may determine the entire barcode bit position and the bit value included in the strip in consideration of the determined initial position of the barcode start bit. When the position of the start bit is determined, the barcode recognition apparatus 10 may determine the position of each bit by using the spatial resolution obtained in the calibration process of the equipment. The determination of the bit value in the barcode recognition apparatus 10 may be determined such that an error is minimized by assuming that the brightness distribution of the white code and the black code is a Gaussian distribution, respectively.

In addition, the barcode recognition apparatus 10 derives a plurality of bit regions included in the strip, and each bit region may be determined based on barcode width data and spatial resolution calculated during device calibration. For example, the plurality of bit regions included in the strip may be regions excluding the start bit. After the barcode recognition device 10 finds the position of the barcode start bit, the positions of the remaining bits are determined using the barcode width data and the spatial resolution obtained from the device's calibration process to derive a plurality of bit regions included in the strip. can Also, the barcode recognition apparatus 10 derives values of a plurality of bits included in the strip, and the value of each bit may be determined using an average of the center portion of the bit area. For example, in FIG. 6 , a blue rectangle indicates a bit position and a light blue circle indicates a barcode start bit position. The value of each bit can be determined by selecting the average value of the pixel along the red line as the threshold. The length of the red line is 60% of the bit width and is in the vertical center of the rectangle. The line area for average brightness is set to obtain a stable bit value even if the original bit image deviates from the calculated bit area. The barcode recognition apparatus 10 may calculate a threshold value in order to minimize a classification error when both the average values for the white and black bits have a Gaussian distribution.

7 shows the brightness distribution with and without strips in each slot. The x-axis of FIG. 7 represents the average brightness of the irradiated area, and the blue and green dots represent the brightness with or without strips, respectively. Also, referring to FIG. 7 , it can be seen that the brightness distribution is clearly distinguished. Assuming both distributions are Gaussian, the red triangle represents the minimum classification error threshold. The barcode recognition device 10 can obtain a result with a negligible error value in determining the presence or absence of a strip due to the high contrast between the black anodized tray 2 and the matte white strip 5 . .

8 shows the template response and central profile when templates 'T1' (refer to FIG. 8(a)) and 'T2' (refer to FIG. 8(b)) are applied. There are two response pictures for each template. The image on the left shows the response when the first bit is white, and the image on the right shows the response when the first bit is black. Each response plot contains the original image, the template response, and the response profile along the vertical centroid. As can be seen from the response center profile, the peak spacing is equal to the bit height and relatively close to each other when the first bit is black. (See Fig. 8(a), right). Narrow peak spacing is undesirable when finding the desired peak.

Template 'T1' also gives a relatively large peak at the top edge of the strip. If the strip is incorrectly inserted due to user error, the edge of the search area can be engraved and mistaken for a barcode start bit peak. On the other hand, when the template 'T2' is used, if the response value is negative, the peak due to incorrect loading can be ignored (see Fig. 8(b)). In addition, the distance between the peaks is wider, and even when the first bit is black, the closest gap is maintained at twice the bit height (see Fig. 8(b), left). Accordingly, the barcode recognition apparatus 10 may perform barcode recognition based on the 'T2' template.

9A shows an example of a false peak (red circle) that can be mistaken for a barcode start bit peak (blue circle). Figure 9b shows the decision boundary obtained by assuming that the barcode start bit position and the response at the false peak have a Gaussian distribution. The threshold value is 63 and the error rate is 3.4e-6, so that negligible results can be obtained.

Figure 10a shows the 60% width midline area (red line) to determine the bit value and the position of each bit (blue box) calculated with spatial resolution and barcode dimensions. The number to the left of the barcode indicates the determined bit value. Bit values were successfully determined for all 40 barcodes. Fig. 10b shows the minimum error threshold (red triangle) when the average brightness of black (blue dots) and white bits (green dots) both have a Gaussian distribution. In determining the bit value, the error rate (error rate) was calculated to be negligible.

According to an embodiment of the present application, the barcode recognition apparatus 10 may provide a barcode recognition apparatus of a multidirectional flow strip detection apparatus using a camera. The barcode recognition apparatus 10 may statistically evaluate the threshold value for determining the presence or absence of a strip, the position of the start code, the position of each bit, and the value of each bit using a two-class mixed Gaussian model. The algorithm used in the barcode recognition device 10 may determine the presence or absence of the strip and the position of the start code in consideration of the device deviation. The position of each bit can be determined using the barcode dimensions and image spatial resolution obtained during manufacturing calibration. The determination criterion in the barcode recognition device 10 may be determined by emulating the deviation between devices with one device.

Hereinafter, an operation flow of the present application will be briefly reviewed based on the details described above.

11 is an operation flowchart of a barcode recognition method according to an embodiment of the present application.

The barcode recognition method shown in FIG. 11 may be performed by the barcode recognition apparatus 10 described above. Accordingly, even if omitted below, the description of the barcode recognition apparatus 10 may be equally applied to the description of the barcode recognition method.

In step S101, the barcode recognition apparatus 10 may acquire a plurality of strip images to determine whether a strip exists.

In step S102, the barcode recognition apparatus 20 may analyze a plurality of strip images to determine whether a strip exists in each slot.

In step S103, the barcode recognition apparatus 10 may determine the initial position of the barcode start bit based on the result of determining whether the strip exists.

In step S104, the barcode recognition apparatus 10 may determine the entire barcode bit position and the bit value included in the strip in consideration of the determined initial position of the barcode start bit.

In the above description, steps S101 to S104 may be further divided into additional steps or combined into fewer steps, according to an embodiment of the present application. In addition, some steps may be omitted if necessary, and the order between steps may be changed.

The barcode recognition method according to an embodiment of the present application may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

In addition, the above-described barcode recognition method may be implemented in the form of a computer program or application executed by a computer stored in a recording medium.

The foregoing description of the present application is for illustration, and those of ordinary skill in the art to which the present application pertains will understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present application. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

The scope of the present application is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present application.

10: barcode recognition device
20: user terminal
30: camera

Claims (5)

acquiring a plurality of strip images to determine whether a strip exists;
determining whether a strip exists in each slot by analyzing the plurality of strip images;
determining an initial position of a barcode start bit based on a result of determining whether the strip exists; and
determining the entire barcode bit position and bit value included in the strip in consideration of the determined initial position of the barcode start bit;
A barcode recognition method comprising a. According to claim 1,
The step of deriving the initial position of the barcode start bit comprises:
and deriving the starting position of the barcode using a template matching method. According to claim 1,
Determining the entire barcode bit position and bit value comprises:
A method of deriving a plurality of bit regions included in the strip, wherein each bit region is determined based on barcode width data and spatial resolution calculated during device calibration. 4. The method of claim 3,
Determining the entire barcode bit position and bit value comprises:
A method of deriving a value of a plurality of bits included in the strip, wherein the value of each bit is determined by using an average of the center portion of the bit region. A computer-readable recording medium in which a program for executing the method of any one of claims 1 to 4 in a computer is recorded.

Images