868 research outputs found
2D-barcode for mobile devices
2D-barcodes were designed to carry significantly more data than its 1D counterpart. These codes are often used in industrial information tagging applications where high data capacity, mobility, and data robustness are required. Wireless mobile devices such as camera phones and Portable Digital Assistants (PDAs) have evolved from just a mobile voice communication device to what is now a mobile multimedia computing platform. Recent integration of these two mobile technologies has sparked some interesting applications where 2D-barcodes work as visual tags and/or information source and camera phones performs image processing tasks on the device itself. One of such applications is hyperlink establishment. The 2D symbol captured by a camera phone is decoded by the software installed in the phone. Then the web site indicated by the data encoded in a symbol is automatically accessed and shown in the display of the camera phone. Nonetheless, this new mobile applications area is still at its infancy. Each proposed mobile 2D-barcode application has its own choice of code, but no standard exists nor is there any study done on what are the criteria for setting a standard 2D-barcode for mobile phones. This study intends to address this void. The first phase of the study is qualitative examination. In order to select a best standard 2D-barcode, firstly, features desirable for a standard 2D-barcode that is optimized for the mobile phone platform are identified. The second step is to establish the criteria based on the features identified. These features are based on the operating limitations and attributes of camera phones in general use today. All published and accessible 2D-barcodes are thoroughly examined in terms of criteria set for the selection of a best 2D-barcode for camera phone applications. In the second phase, the 2D-barcodes that have higher potential to be chosen as a standard code are experimentally examined against the three criteria: light condition, distance, whether or not a 2D-barcode supports VGA resolution. Each sample 2D-barcode is captured by a camera phone with VGA resolution and the outcome is tested using an image analysis tool written in the scientific language called MATLAB. The outcome of this study is the selection of the most suitable 2D-barcode for applications where mobile devices such as camera phones are utilized
Recommended from our members
Development Of A Novel Finder Pattern For Effective Color 2D-Barcode Detection
With a camera mobile phone, which has become a must-have device, 2D-barcode works as an interface to bridge the physical and digital world. As the notion of ubiquitous computing has permeated, developing a new 2D-barcode and its applications has been a growing trend worldwide. A 2D-barcode symbol consists of two broad areas: data area and guide area. The components of the latter is collectively called finder pattern and used in locating the 2D-barcode symbol. The failure of finding the target symbol prevents a barcode reader from successfully decoding the barcode. Hence, designing a functional finder pattern is one of the key for improving the robustness of barcode reading, and thus, the entire 2D-barcode system. We have designed a novel finder pattern integrated with a color 2D-barcode for camera mobile phone applications. Through the development and evaluation of the finder pattern for effective color 2D-barcode detection, this paper discusses keys to improve the functionality and reliability of finder patterns, which should be kept in mind when designing a finder pattern for any 2D-barcode symbol
Biometrics
Biometrics-Unique and Diverse Applications in Nature, Science, and Technology provides a unique sampling of the diverse ways in which biometrics is integrated into our lives and our technology. From time immemorial, we as humans have been intrigued by, perplexed by, and entertained by observing and analyzing ourselves and the natural world around us. Science and technology have evolved to a point where we can empirically record a measure of a biological or behavioral feature and use it for recognizing patterns, trends, and or discrete phenomena, such as individuals' and this is what biometrics is all about. Understanding some of the ways in which we use biometrics and for what specific purposes is what this book is all about
A Pattern Classification Based approach for Blur Classification
Blur type identification is one of the most crucial step of image restoration. In case of blind restoration of such images, it is generally assumed that the blur type is known prior to restoration of such images. However, it is not practical in real applications. So, blur type identification is extremely desirable before application of blind restoration technique to restore a blurred image. An approach to categorize blur in three classes namely motion, defocus, and combined blur is presented in this paper. Curvelet transform based energy features are utilized as features of blur patterns and a neural network is designed for classification. The simulation results show preciseness of proposed approach
Making the best use of new technologies in the National Diet and Nutrition Survey: a review
.Background
Dietary assessment is of paramount importance for public health monitoring. Currently in the
UK, the population’s diets are examined by the National Diet and Nutrition Survey Rolling
Programme (NDNS RP). In the survey, diet is assessed by a four-day paper-based dietary
diary, with accompanying interviews, anthropometric measurements and blood and urine
sampling. However, there is growing interest worldwide in the potential for new technologies
to assist in data collection for assessment of dietary intake.
Published literature reviews have identified the potential of new technologies to improve
accuracy, reduce costs, and reduce respondent and researcher burden by automating data
capture and the nutritional coding process. However, this is a fast-moving field of research,
with technologies developing at a rapid pace, and an updated review of the potential
application of new technologies in dietary assessment is warranted. This review was
commissioned to identify the new technologies employed in dietary assessment and critically
appraise their strengths and limitations in order to recommend which technologies, if any,
might be suitable to develop for use in the NDNS RP and other UK population surveys.
Objectives
The overall aim of the project was to inform the Department of Health of the range of new
technologies currently available and in development internationally that have potential to
improve, complement or replace the methods used in the NDNS RP. The specific aims were:
to generate an itinerary of new and emerging technologies that may be suitable; to
systematically review the literature and critically appraise new technologies; and to
recommend which of these new technologies, if any, would be appropriate for future use in
the NDNS RP. To meet these aims, the project comprised two main facets, a literature
review and qualitative research.
Literature review data sources
The literature review incorporated an extensive search of peer-reviewed and grey literature.
The following sources were searched: Cochrane Database of Systematic Reviews (CDSR),
Database of Abstracts of Reviews of Effectiveness (DARE), Web of Science Core Collection,
Ovid MEDLINE, Ovid MEDLINE In-Process, Embase, NHS EED (Economic Evaluation
Database), National Cancer Institute (NCI) Dietary Assessment Calibration/Validation
Register, OpenGrey, EPPI Centre (TRoPHI), conference proceedings (ICDAM 2012,
ISBNPA 2013, IEEE Xplore, Nutrition Society Irish Section and Summer Meetings 2014),
recent issues of journals (Journal of Medical Internet Research, International Journal of
Medical Informatics), grants registries (ClinicalTrials.gov, BBSRC, report), national surveys,
and mobile phone application stores. In addition, hand-searching of relevant citations was
performed. The search also included solicitation of key authors in the field to enquire about
Making the best use of new technologies in the NDNS: a review
4
as-yet unpublished articles or reports, and a Bristol Online Survey publicised via social
media, society newsletters and meetings.
Literature review eligibility criteria
Records were screened for eligibility using a three-stage process. Firstly, keyword searches
identified obviously irrelevant titles. Secondly, titles and abstracts were screened against the
eligibility criteria, following which full-text copies of papers were obtained and, in the third
stage of screening, examined against the criteria. Two independent reviewers screened
each record at each stage, with discrepancies referred to a third reviewer.
Eligibility criteria were pre-specified and agreed by the project Steering Group (Section 1.6).
Eligible records included: studies involving technologies, new to the NDNS RP, which can be
used to automate or assist the collection of food consumption data and the coding of foods
and portion sizes, currently available or beta versions, public domain or commercial; studies
that address the development, features, or evaluation of new technology; technologies
appropriate for the requirements of the NDNS RP in terms of nutritional analysis, with
capacity to collect quantifiable consumption data at the food level; primary sources of
information on a particular technology; and journal articles published since the year 2000 or
grey literature available from 2011 onwards. The literature search was not limited to Englishlanguage
publications, which are included in the itinerary, although data were not extracted
from non-English studies.
Literature synthesis and appraisal
New technologies were categorised into eleven types of technology, and an itinerary was
generated of tools falling under each category type. Due to the volume of eligible studies
identified by the literature searches, data extraction was limited to the literature focussing on
selected exemplar tools of five technology categories (web-based diet diary, web-based 24-
hour recall, handheld devices (personal digital assistants and mobile phones), nonautomated
cameras to complement traditional methods, and non-automated cameras to
replace traditional methods). For each category, at least two exemplars were chosen, and all
studies involving the exemplar were included in data extraction and synthesis. Exemplars
were selected on the basis of breadth of evidence available, using pre-specified criteria
agreed by the Steering Group.
Data were extracted by a single reviewer and an evidence summary collated for each
exemplar. A quality appraisal checklist was developed to assess the quality of validation
studies. The checklist was piloted and applied by two independent reviewers. Studies were
not excluded on the basis of quality, but study quality was taken into account when judging
the strength of evidence. Due to the heterogeneity of the literature, meta-analyses were not
performed.
References were managed and screened using the EPPI Reviewer 4 systematic review
software. EPPI Reviewer was also used to extract data
Computer Vision and Image Processing Techniques for Mobile Applications
Camera phones have penetrated every corner of society and have become a focal point for communications. In our research we extend the traditional use of such devices to help bridge the gap between physical and digital worlds. Their combined image acquisition, processing, storage, and communication capabilities in a compact, portable device make them an ideal platform for embedding computer vision and image processing capabilities in the pursuit of new mobile applications. This dissertation is presented as a series of computer vision and image processing techniques together with their applications on the mobile device. We have developed a set of techniques for ego-motion estimation, enhancement, feature extraction, perspective correction, object detection, and document retrieval that serve as a basis for such applications. Our applications include a dynamic video barcode that can transfer significant amounts of information visually, a document retrieval system that can retrieve documents from low resolution snapshots, and a series of applications for the users with visual disabilities such as a currency reader. Solutions for mobile devices require a fundamentally different approach than traditional vision techniques that run on traditional computers, so we consider user-device interaction and the fact that these algorithms must execute in a resource constrained environment. For each problem we perform both theoretical and empirical analysis in an attempt to optimize performance and usability. The thesis makes contributions related to efficient implementation of image processing and computer vision techniques, analysis of information theory, feature extraction and analysis of low quality images, and device usability
- …