scholarly journals Detection of QR-Codes in Digital Images Based on Histogram Similarity

2015 ◽  
Vol 20 (2) ◽  
pp. 41-48 ◽  
Author(s):  
Karol Ciążyński ◽  
Anna Fabijańska
Keyword(s):  
Digital Images ◽  
Input Image ◽  
Reference Image ◽  
Qr Code ◽  
Morphological Operations ◽  
Qr Codes ◽  
Lighting Conditions ◽  
Histogram Similarity

Abstract This paper considers the problem of QR codes detection in digital images. In particular, the approach for detection of QR codes is proposed. The approach is based on histogram correlation between the reference image of QR code and the input image. In particular the input image is firstly divided into blocks. These are next used to build binary map of regions similar and dissimilar in terms of histogram to the image of QR code. On the binary map the morphological operations are next applied in order to remove outliers and identify the QR code. The results of applying the introduced approach to various images are presented and discussed. Different lighting conditions, image resolutions and orientations of QR codes are considered.

scholarly journals No-Reference Image Quality Assessment with Multi-Scale Orderless Pooling of Deep Features

2021 ◽  
Vol 7 (7) ◽  
pp. 112
Author(s):  
Domonkos Varga
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
Multiple Scales ◽  
Digital Images ◽  
Input Image ◽  
Perceptual Quality ◽  
Reference Image ◽  
Benchmark Datasets ◽  
In The Wild

The goal of no-reference image quality assessment (NR-IQA) is to evaluate their perceptual quality of digital images without using the distortion-free, pristine counterparts. NR-IQA is an important part of multimedia signal processing since digital images can undergo a wide variety of distortions during storage, compression, and transmission. In this paper, we propose a novel architecture that extracts deep features from the input image at multiple scales to improve the effectiveness of feature extraction for NR-IQA using convolutional neural networks. Specifically, the proposed method extracts deep activations for local patches at multiple scales and maps them onto perceptual quality scores with the help of trained Gaussian process regressors. Extensive experiments demonstrate that the introduced algorithm performs favorably against the state-of-the-art methods on three large benchmark datasets with authentic distortions (LIVE In the Wild, KonIQ-10k, and SPAQ).

scholarly journals Sistem Reservasi Jadwal Jasa Medis Fasilitas Kesehatan Kelas Satu Menggunakan QR Code Berbasis Android

CHIPSET ◽  
2020 ◽  
Vol 1 (01) ◽  
pp. 1-4
Author(s):  
Mohammad Hafiz Hersyah ◽  
Ririn Putri Anedya
Keyword(s):  
Health Service ◽  
Success Rate ◽  
Health Facility ◽  
Qr Code ◽  
Android Application ◽  
Qr Codes ◽  
Lighting Conditions ◽  
Data Processor ◽  
Reservation System ◽  
The Voice

This research aims to establish a reservation system or reservation schedule for health services in the health facility class one. This system uses qr code technology to identify health service schedule orders made by users. This system consists of a laptop webcam that functions as a device for reading data in QR codes, Arduino Uno microcontroller as a data processor for reading QR code results, an MP3 player module as a device for storing sound output, speakers functioning as sound output devices for reading QR codes and Android application as a system interface for ordering health service schedules in health facility class one and accessing databases. Ordering a health service schedule starts with the selection of the service schedule by the user on the android application, then the user will get a qr code as proof of the order made to identify the sequence that will later be read by the webcam laptop and the results processed by Arduino followed by the voice output from the speaker. This study shows the success rate of the system in making online schedule bookings by 100%. In the process of identifying the QR code using a webcam with bright lighting conditions it has a 100% success rate and with a reading range of 11-20 cm a 90% success rate is obtained. In testing, the sound output from the speakers obtained a success rate of 100%.

Initiating android phone technology using QR codes to make innovative functional clothes

2020 ◽  
Vol 32 (6) ◽  
pp. 935-951 ◽  
Author(s):  
Reem M. Nofal
Keyword(s):  
Sign Language ◽  
Design Methodology ◽  
Qr Code ◽  
Quick Response ◽  
Optimum Conditions ◽  
Qr Codes ◽  
Content Type ◽  
Factors Affecting ◽  
Weave Structure ◽  
Lighting Conditions

PurposeAndroid mobile phones are usually used in everyday life. QR (quick response) codes are one of the smart and interesting technologies to convey information fast and accurately through smartphones. So printing QR codes on different textiles by inkjet method concerns specific people, such as with Autism, and Down syndrome, deaf and dumb children and also people having Alzheimer’s disease, who do not have the ability to communicate to others properly; these people cannot know, express or remember information about their selves. So printing QR codes in their clothes can help improve their lives.Design/methodology/approachIn this study, different factors affecting QR codes scanability on fabrics were examined to clarify optimum conditions of recognition and readability. This paper examines different factors as QR Code different resolutions, sizes and lighting conditions. Different weave structures were also used. A questionnaire was done in a deaf and dumb school, for clarifying how QR codes can improve communication to some extent with others, especially those who do not realize sign language. In this study, different factors affecting QR codes’ scanability on fabrics were examined to clarify the optimum conditions of recognition and readability. This paper examines different factors as QR Code different resolutions, sizes and lighting conditions. Different weave structures were also used. A questionnaire was done in deaf and dumb school, to clarifying how QR codes can improve communication to some extent with others who especially do not realize sign language.FindingsThe finding of this study can provide basic data for future researches on QR codes printing on textiles. The effect of weave structure on QR code reading is obvious, as code reading time consumed in the plain fabric is more than that required in a twill structure. This economical method can enhance wearer life, especially for some cases as deaf and dumb cases.Originality/valueThese creative functions will surprise users and motivate them to scan the Codes. Increasing utility of QR codes in the textile and clothing field, give sustainability to the wearer clothes and accessories.

Face detection in single and multiple images using different skin color models

2020 ◽  
Vol 13 ◽  
Author(s):  
Manpreet Kaur ◽  
Jasdev Bhatti ◽  
Mohit Kumar Kakkar ◽  
Arun Upmanyu
Keyword(s):  
Face Detection ◽  
Skin Color ◽  
Input Image ◽  
Morphological Operations ◽  
Reliability Model ◽  
Multiple Images ◽  
Face Region ◽  
Bounding Box ◽  
The Face ◽  
Precision And Accuracy

Introduction: Face Detection is used in many different steams like video conferencing, human-computer interface, in face detection, and in the database management of image. Therefore, the aim of our paper is to apply Red Green Blue ( Methods: The morphological operations are performed in the face region to a number of pixels as the proposed parameter to check either an input image contains face region or not. Canny edge detection is also used to show the boundaries of a candidate face region, in the end, the face can be shown detected by using bounding box around the face. Results: The reliability model has also been proposed for detecting the faces in single and multiple images. The results of the experiments reflect that the algorithm been proposed performs very well in each model for detecting the faces in single and multiple images and the reliability model provides the best fit by analyzing the precision and accuracy. Moreover Discussion: The calculated results show that HSV model works best for single faced images whereas YCbCr and TSL models work best for multiple faced images. Also, the evaluated results by this paper provides the better testing strategies that helps to develop new techniques which leads to an increase in research effectiveness. Conclusion: The calculated value of all parameters is helpful for proving that the proposed algorithm has been performed very well in each model for detecting the face by using a bounding box around the face in single as well as multiple images. The precision and accuracy of all three models are analyzed through the reliability model. The comparison calculated in this paper reflects that HSV model works best for single faced images whereas YCbCr and TSL models work best for multiple faced images.

scholarly journals QR Code-based Learning Development: Accessing Math Game for Children Learning Enhancement

2019 ◽  
Vol 13 (11) ◽  
pp. 111 ◽  
Author(s):  
Widyasari Widyasari ◽  
Hadi Sutopo ◽  
Murniati Agustian
Keyword(s):  
Elementary School ◽  
Field Test ◽  
Mathematics Learning ◽  
Qr Code ◽  
Qr Codes ◽  
School Students ◽  
Learning Enhancement ◽  
Learning Mathematics ◽  
Learning Development ◽  
Math Game

Mathematics in elementary school is difficult to understand, boring, formal, theoretical, and book-based learning, which makes students tired of listening and paying attention. The purpose of this study is to create a learning prototype based on QR codes, especially mathematics learning in elementary schools. Using the QR code, students can access math games related to the course. This learning model could encourage students to learn mathematics. The research included seven steps in research and development named after Borg & Gall, such as need assessment, plan, early product development, first test, revise early product, field test and revise product. The object of the research is QR code-based learning, and the respondents are elementary school students and teachers. After analyzing data in the first and field test, researchers found the result. QR code-based learning could support children for learning mathematics.

scholarly journals ART-UP: A Novel Method for Generating Scanning-Robust Aesthetic QR Codes

2021 ◽  
Vol 17 (1) ◽  
pp. 1-23
Author(s):  
Mingliang Xu ◽  
Qingfeng Li ◽  
Jianwei Niu ◽  
Hao Su ◽  
Xiting Liu ◽  
...  
Keyword(s):  
State Of The Art ◽  
Visual Quality ◽  
Qr Code ◽  
Quick Response ◽  
Estimation Model ◽  
Qr Codes ◽  
Excellent Performance ◽  
Novel Method ◽  
Coarse To Fine

Quick response (QR) codes are usually scanned in different environments, so they must be robust to variations in illumination, scale, coverage, and camera angles. Aesthetic QR codes improve the visual quality, but subtle changes in their appearance may cause scanning failure. In this article, a new method to generate scanning-robust aesthetic QR codes is proposed, which is based on a module-based scanning probability estimation model that can effectively balance the tradeoff between visual quality and scanning robustness. Our method locally adjusts the luminance of each module by estimating the probability of successful sampling. The approach adopts the hierarchical, coarse-to-fine strategy to enhance the visual quality of aesthetic QR codes, which sequentially generate the following three codes: a binary aesthetic QR code, a grayscale aesthetic QR code, and the final color aesthetic QR code. Our approach also can be used to create QR codes with different visual styles by adjusting some initialization parameters. User surveys and decoding experiments were adopted for evaluating our method compared with state-of-the-art algorithms, which indicates that the proposed approach has excellent performance in terms of both visual quality and scanning robustness.

scholarly journals Surgical navigation with QR codes

2016 ◽  
Vol 2 (1) ◽  
pp. 355-358
Author(s):  
Manuel Katanacho ◽  
Wladimir De la Cadena ◽  
Sebastian Engel
Keyword(s):  
Surgical Navigation ◽  
Video Camera ◽  
Surgical Instruments ◽  
Qr Code ◽  
Qr Codes ◽  
Measurement Systems

AbstractThe presented work is an alternative to established measurement systems in surgical navigation. The system is based on camera based tracking of QR code markers. The application uses a single video camera, integrated in a surgical lamp, that captures the QR markers attached to surgical instruments and to the patient.

scholarly journals Lung Cancer Detection using Convolutional Neural Network

2019 ◽  
Vol 8 (6) ◽  
pp. 3256-3262 ◽  
Keyword(s):  
Lung Cancer ◽  
Image Processing ◽  
Detection System ◽  
Histogram Equalization ◽  
Input Image ◽  
Machine Learning Algorithms ◽  
Morphological Operations ◽  
Image Processing Techniques ◽  
Cad System ◽  
Processing Techniques

The mortality rate is increasing among the growing population and one of the leading causes is lung cancer. Early diagnosis is required to decrease the number of deaths and increase the survival rate of lung cancer patients. With the advancements in the medical field and its technologies CAD system has played a significant role to detect the early symptoms in the patients which cannot be carried out manually without any error in it. CAD is detection system which has combined the machine learning algorithms with image processing using computer vision. In this research a novel approach to CAD system is presented to detect lung cancer using image processing techniques and classifying the detected nodules by CNN approach. The proposed method has taken CT scan image as input image and different image processing techniques such as histogram equalization, segmentation, morphological operations and feature extraction have been performed on it. A CNN based classifier is trained to classify the nodules as cancerous or non-cancerous. The performance of the system is evaluated in the terms of sensitivity, specificity and accuracy

scholarly journals Detection of Forgery and Fabrication in Passports and Visas using Cryptography and QR Codes

2021 ◽  
Vol 12 (1) ◽  
pp. 1-11
Author(s):  
Cheman Shaik
Keyword(s):  
Mobile App ◽  
Public Key ◽  
Qr Code ◽  
Clear Indication ◽  
Qr Codes ◽  
The Public ◽  
Private Key ◽  
The World ◽  
Cryptographic Key ◽  
Google Play

In this paper, we present a novel solution to detect forgery and fabrication in passports and visas using cryptography and QR codes. The solution requires that the passport and visa issuing authorities obtain a cryptographic key pair and publish their public key on their website. Further they are required to encrypt the passport or visa information with their private key, encode the ciphertext in a QR code and print it on the passport or visa they issue to the applicant. The issuing authorities are also required to create a mobile or desktop QR code scanning app and place it for download on their website or Google Play Store and iPhone App Store. Any individual or immigration uthority that needs to check the passport or visa for forgery and fabrication can scan its QR code, which will decrypt the ciphertext encoded in the QR code using the public key stored in the app memory and displays the passport or visa information on the app screen. The details on the app screen can be compared with the actual details printed on the passport or visa. Any mismatch between the two is a clear indication of forgery or fabrication. Discussed the need for a universal desktop and mobile app that can be used by immigration authorities and consulates all over the world to enable fast checking of passports and visas at ports of entry for forgery and fabrication

scholarly journals Implementation for Quick Response Code

2019 ◽  
pp. 249-252
Author(s):  
K. Ravikumar ◽  
R. Geetha
Keyword(s):  
Mobile Devices ◽  
Mobile Phones ◽  
Teaching And Learning ◽  
Qr Code ◽  
Quick Response ◽  
Qr Codes ◽  
Response Code ◽  
Quick Response Code ◽  
The People ◽  
Identity Card

Quick Response (QR) codes are versatile. a chunk of long trilingual text, a connected URL, an automatic SMS message, an identity card or simply regarding any data is embedded into the two-dimensional barcode. as well as moderate equipped mobile devices, QR Codes will connect the users to the data quickly and simply. The operations to retrieve or store QR codes are unbelievably easy and fast, and with mobile devices, build them the best academic tools for teaching and learning. QR codes are all over and most of the people have mobile phones equipped with QR code readers. though QR codes existed for over fifteen years, there arent such a lot of analysis applications during this space.

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