10 Common Reasons Preventing QR Code Recognition (2024)

Aug 07, 2024

 Tips and tricks

In today’s digital age, QR codes have become a convenient tool for accessing information quickly and efficiently. However, there are instances when these codes fail to scan, causing frustration and delays. Understanding the common reasons why QR codes may not scan can help prevent these issues and ensure a seamless user experience.

Details of QR code encoding and error correction

QR code encoding involves converting data into a two-dimensional barcode format, incorporating a structured pattern of black and white modules. To ensure reliable readability, QR codes include Reed-Solomon error correction, which allows them to recover from data loss or damage. This error correction capability is integrated into the encoding process by embedding redundant information, enabling the QR code to be read accurately even if portions are obscured or corrupted. The level of error correction can be adjusted to balance between data capacity and robustness, ensuring the QR code remains functional under varying conditions.

Dynamsoft Barcode Reader SDK is highly efficient at managing these challenges, offering robust decoding capabilities that maintain high accuracy under diverse conditions. With its advanced algorithms and flexible APIs, Dynamsoft Barcode Reader provides seamless and reliable barcode scanning for a wide range of applications.

Understanding the common issues that prevent QR code recognition is essential for optimizing its use. Let’s explore some reasons why a QR code might not scan and how to overcome these challenges.

Reasons For QR Code Not Scanning

1. Blurry QR Code

One of the most common reasons preventing QR code recognition is a blurry QR code. This can lead to scanning errors and result in the QR code not being recognized by a scanner.

10 Common Reasons Preventing QR Code Recognition (1)

If you’re using Dynamsoft Barcode Reader and wish to enhance the scanning accuracy of blurred QR codes, several parameters can be adjusted. First, setting the deblurLevel to 9 increases the SDK’s capability to read blurred barcodes effectively.

Finally, utilizing ImagePreprocessingModes helps prepare the image for better readability, ensuring the QR code is more accessible to the scanner.

2. QR Code Too Small to scan

The size of a QR code plays a crucial role in its readability and functionality. If a QR code is too small and placed in an inconspicuous location, users might miss it. Conversely, if a QR code is too large, such as one displayed on a billboard, it may not scan properly.

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When a barcode is very small (relative to the entire image) and its module size is tiny, it becomes difficult for the scanning library to read it. To overcome this challenge, the ScaleUpModes parameter can be used. This parameter allows the barcode symbol to be enlarged, making it easier to process and improving the accuracy of the scan.

By utilizing the appropriate ScaleUpModes setting, the scanning library can effectively enlarge small barcodes, making them easier to detect and decode. This ensures that QR codes are reliably scanned, regardless of their initial size or placement.

3. Damaged QR Code

Weather conditions and handling can damage QR codes, causing them to become faded, ripped, or stained, which impairs their scanning capability.

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To mitigate this, QR codes incorporate Reed–Solomon error correction, allowing them to be read even if they are partially damaged. When generating QR codes, users can choose from four error correction levels: Low, Medium, High, and Quartile. The highest error correction level, Quartile, can recover up to 30% of the data bytes, ensuring the QR code remains functional despite significant damage.

Also, BarcodeComplementModes helps solve this issue by including a candidate mode and a series of auxiliary mode arguments. This helps in complementing the missing parts of a barcode in 2 ways:

  • BCM General – Uses a general algorithm to complement the barcode.
  • BCM Auto – The library chooses a mode automatically.

4. Lighting Issues While Scanning

Images with shadows can cause uneven lighting, making it challenging for many scanners to read QR codes accurately.

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To address this issue, the Dynamsoft Barcode Reader offers an adaptive binarization mode called BM_LOCAL_BLOCK. This mode dynamically adjusts to varying lighting conditions within the image, enabling successful decoding of barcodes even in challenging environments with uneven illumination.

5. QR Code Blending with Background

Customizing the color of a QR code to match a specific style or theme can be appealing. However, improper color customization can make the QR code difficult to scan, particularly if the colors blend into the design.

To maintain scannability, it is recommended to keep the foreground color at least 40% darker than the background. This contrast ensures that the QR code remains prominent and easily readable, preserving its functionality and effectiveness.

6. Inverted colors in the QR Code

One of the most common errors in creating QR codes is inverting the colors. Typically, a standard QR code has a white background and a black foreground. When these colors are reversed, the QR code often becomes unscannable due to the dark background interfering with proper recognition.

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By default, Barcode Reader SDKs cannot decode inverted barcodes. Dynamsoft Barcode Reader addresses this issue with GrayscaleTransformationModes. Here is a concise overview:

  1. When GTM_ORIGINAL is enabled, the Dynamsoft Barcode Reader scans only standard black-on-white barcodes.
  2. When GTM_INVERTED is enabled, the reader scans only inverted barcodes.
  3. By enabling both GTM_ORIGINAL and GTM_INVERTED, the reader first attempts to decode standard barcodes. If the expected number of barcodes is not detected, it then attempts to decode inverted barcodes.

This approach ensures comprehensive scanning capability, accommodating both standard and inverted QR codes for enhanced reliability.

7. Wrong Placement of QR Code

QR codes cannot fulfill their purpose if they go unnoticed. Placing a barcode on the edges or corners of an item can also hinder its scannability.

10 Common Reasons Preventing QR Code Recognition (6)

The Dynamsoft Barcode Reader SDK provides advanced image processing methods to manage deformed barcodes, including those that are curved, crumpled, or otherwise distorted. By utilizing the DBR SDK, you can enhance the scanning capabilities for these challenging types of barcodes, ensuring they are reliably detected and read.

8. Insufficient Error Correction

The error correction level of a QR code is essential for reliable scanning. When QR codes are exposed to environmental factors such as moisture, dirt, or physical damage, they may not scan properly or could be slow to scan due to insufficient error correction.

The QRCodeErrorCorrectionLevel in Dynamsoft Barocode Reader determines the level of error correction applied during the processing of QR codes. This setting is critical in ensuring that QR codes can be read accurately even when they are partially damaged. The levels are as follows:

  • QRECL_ERROR_CORRECTION_H (High): Allows for up to 30% data recovery. This level is ideal for environments where QR codes might suffer significant damage, such as outdoor locations or industrial settings.
  • QRECL_ERROR_CORRECTION_L (Low): Allows for up to 7% data recovery. This level is suitable for scenarios where the integrity of the QR code is unlikely to be compromised, such as controlled indoor environments.
  • QRECL_ERROR_CORRECTION_M (Medium-Low): Allows for up to 15% data recovery. This level strikes a balance between data integrity and capacity, making it appropriate for general use.
  • QRECL_ERROR_CORRECTION_Q (Medium-High): Allows for up to 25% data recovery. This level is designed for situations where some damage to the QR code is expected, offering a higher degree of protection without significantly reducing the storage capacity.

By selecting the appropriate error correction level, users can ensure that their QR codes remain functional and scannable, even in adverse conditions. This enhances the reliability and effectiveness of QR codes in various applications.

9. Incorrect Scanning Distance

If a QR code is positioned too close to the scanner, it may be challenging for the scanner to detect the code properly. Conversely, if the QR code is too far away, it may suffer from low image resolution and a small module size, making it difficult to scan accurately.

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To address the issue of low resolution when scanning from a distance, you can scale up the image to increase the module size, thereby enhancing the readability of the QR code. The scaleUpModes parameter in the Dynamsoft Barcode Reader facilitates this adjustment, ensuring better detection and decoding of the barcode. Additionally, using the camera’s highest resolution can significantly improve image quality, leading to a higher successful decoding rate.

10. High-Density QR Code

High-density QR codes contain a high volume of data, posing significant challenges for scanning. QR codes store data directly within their patterns, increasing the amount of information results in densely packed modules, making the QR code harder to read.

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For instance, a QR code version 1 can store up to 25 alphanumeric characters, a version 40 can store up to 7,089 numeric characters or 4,296 alphanumeric characters, which can lead to overly intricate patterns. To mitigate this issue, it is advisable to minimize the encoded data size.

Dynamsoft Barcode Reader’s advanced barcode decoding solution effectively addresses the challenges posed by high-density QR codes. Its sophisticated algorithms and robust decoding capabilities ensure accurate reading of highly congested or intricate QR codes. By leveraging features such as adaptive image processing, Dynamsoft Barcode Reader can handle and decipher high-density QR codes with precision, enhancing reliability even under challenging conditions.

Get in Touch with the Dynamsoft Technical Support Team

At Dynamsoft, we aim to assist developers in integrating barcode scanning into web, desktop, and mobile applications to streamline workflows. We constantly enhance our offerings to meet the demands of enterprises in scanning barcodes in challenging environments.

If you have questions about QR code scanning or are facing any challenges, please get in touch with the Dynamsoft technical support team.

  •  BARCODE-SCANNER
  •  BARCODE-READING
  •  DAMAGED-BARCODES
10 Common Reasons Preventing QR Code Recognition (2024)

FAQs

Why can't some QR code be read? ›

One of the primary reasons for QR Code not working is if it's blurred. This happens when you download QR Codes in an incorrect format and resize them- which can lead to a blurred QR Code. A blurry QR Code image might not be correctly interpreted by a scanner.

What is the main problem with QR codes? ›

Malicious URL Embedding: By encoding a harmful URL into a QR code, attackers can lead individuals to download malware or unwanted software. Once scanned, these QR codes can initiate the download and installation of malware, putting personal data at risk.

What are the barriers to using QR codes? ›

Security and trust: Malicious links: There is a risk that QR codes could be used to direct users to malicious websites or phishing scams. Businesses need to take steps to ensure their QR codes are secure and trustworthy.

Why do QR codes stop working? ›

In general, there are three main reasons that a QR code is not working: Problems with the physical medium (how a code is printed or displayed) Problems with the encoded data. Problems with the destination website (if the code has an embedded link)

What makes a QR code unscannable? ›

If the distance between the pixels of the Code and the surrounding elements is too small, it can't be scanned. The rule of thumb is to have a quiet zone that is at least four times the width of the modules of your QR Code.

How do you make a QR code more readable? ›

To apply this QR code optimization, always use a different color for the background and pattern. The latter should always be dark, while the background should be light to make them more readable. It is crucial to note that color combination is more than just a decorative afterthought in QR code design.

What are the negative effects of QR codes? ›

Be mindful of any sites you access via a code that requests payment, credentials, or personal information. Scanning QR codes that you find out in the wild can put your device and your information at risk. Malicious actors can use them to trick you into giving away information or allowing device access.

What is the threat of the QR code? ›

QR code attacks on the rise

Phishing emails continues to be the number one attack vector for organizations. A QR code phishing, or quishing attack, is a modern social engineering cyberattack technique manipulating users into giving away personal and financial information or downloading malware.

When not to use QR code? ›

QR Codes should never be placed in locations that make them difficult or dangerous to scan. Use easy-to-read QR codes: Larger QR codes ensure the pattern is clear and easily readable by the scanning device. QR codes that are too small or obscure make it more difficult for the scanner to read.

What are the limitations of QR codes? ›

Security Concerns: Vulnerable to phishing if not encrypted. Tech Dependency: Requires a smartphone with a camera and internet access. Connectivity: Needs a stable internet connection to complete transactions. User Familiarity: Some customers may not understand how to use QR codes.

What makes a QR Code readable? ›

Other than designing your QR Code to be the appropriate size, there are three other main points to keep in mind to make sure your QR Code is crisp, clear, and readable: the quiet zone, image quality, and color contrast.

What should be done to make QR Code more accessible? ›

Next time you create QR Codes, consider including a descriptive CTA that helps a guide, or ensuring high contrast to make the QR Code easier to identify for people with low vision. These minor changes have a major impact when it comes to making QR Codes accessible, such that it reaches a wider audience.

Can QR codes fail? ›

QR Codes in high-wear or outdoor environments need higher error correction, while those in controlled settings may require less. Inadequate error correction can lead to QR code failures in crucial situations, making the right choice essential for effective and reliable QR code usage.

Why not to scan QR codes? ›

Criminals are therefore using QR codes to disguise the links to malicious websites that phishing emails contain. Not all security tools designed to detect phishing emails will scan images, so a QR code directing the user to a malicious website might slip through.

How do I scan a QR code that won't scan? ›

Using your Camera app

Whenever scanning is enabled, a notification will appear. If nothing happens, you may have to go to your Settings app and enable QR Code scanning. If QR Codes isn't an option in your settings, your device unfortunately can't scan QR Codes natively.

How do you check if a QR code is readable? ›

To check if your QR Code is working properly, scan it with your smartphone's camera or a QR Code reader app. If your QR Code is readable and working properly, the camera or app will prompt you to open the link or display the landing page. It's important to test your QR Code both before and after printing.

How do I get a QR code to read? ›

You can open QR Code from a picture in your gallery by using Google Lens on Android or live text detection or live text detection on iOS. Once it is scanned, a pop-up link will appear, directing you to the destination content.

What makes a QR code readable? ›

Other than designing your QR Code to be the appropriate size, there are three other main points to keep in mind to make sure your QR Code is crisp, clear, and readable: the quiet zone, image quality, and color contrast.

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