This paper includes the recognition of 2D QR bar codes. This paper describes the deblurring, localization and
geometry correction of 2D QR bar codes. The images captured are blurred due motion between the image and
the camera. Hence the image containing the QR barcode cannot be read by QR reader. To make the QR barcode
readable the images are need to be deblurred. Lucy Richardson method and Weiner Deconvolution Method is
used to deblurr and localize the bar code. From both of the methods Lucy Richardson Method is best because
this method takes less time for execution than the other method. Simulink Model is used for the Geometry
correction of the QR bar code. In future, we would like to investigate the generalization of our algorithm to
handle more complicated motion blur.
Enhancing Security and Privacy Issue in Airport by Biometric based Iris Recog...idescitation
Few years ago a self service has been predominant way of passenger at airport.
For the passenger that is a very enjoyable and comfort situation because it keeps control
over all process during their complete journey. For airport and for airlines is also very
interesting evolution because self service allows increasing capacity of airport without any
significant extra investment. However success of self service induces one potential risk. That
is of lack of human contact between airline operator and passenger, there is a problem in
identifying a passenger. This is definitely the problem for immigrations forcibly. This
potential risk of the industry is needed to be addressed and biometrics definitely can solve
this kind of problem. Nowadays biometric is considered to be the most important and
reliable method for personal identification. Iris recognition is considered as most personal
identification.
Automated License Plate Recognition for Toll Booth ApplicationIJERA Editor
This paper describes the Smart Vehicle Screening System, which can be installed into a tollbooth for automated recognition of vehicle license plate information using a photograph of a vehicle. An automated system could then be implemented to control the payment of fees, parking areas, highways, bridges or tunnels, etc. There are considered an approach to identify vehicle through recognizing of it license plate using image fusion, neural networks and threshold techniques as well as some experimental results to recognize the license plate successfully.
Inpainting scheme for text in video a surveyeSAT Journals
Abstract
Text data present in video sequences provide useful information of paramount requirement. Although text present in video provide
useful information not all are of them are necessary because it may hide the important portion of the video. So there must way to
erase this type of unwanted text. This can be done in two phase first text components are detected from each frame of the video.
Detected text component are then removed from the video sequences. And restore the occluded part of the video using inpaint
method. This text detection and removal scheme is in two phases. Each phase is broad topic of image processing. Video text
detection and Inpainting are two most important phase in this scheme. Text detection phase consist of text localization, text
segmentation and recognition phase. Inpainting method is used for restoring occluded part produce due to removal of text.
Keywords—Optical Character Recognition(OCR), Stroke width transform, Text Detection,Connected Component
Character Recognition (Devanagari Script)IJERA Editor
Character Recognition is has found major interest in field of research and practical application to analyze and study characters in different languages using image as their input. In this paper the user writes the Devanagari character using mouse as a plotter and then the corresponding character is saved in the form of image. This image is processed using Optical Character Recognition in which location, segmentation, pre-processing of image is done. Later Neural Networks is used to identify all the characters by the further process of OCR i.e. by using feature extraction and post-processing of image. This entire process is done using MATLAB.
Mobile Based Application to Scan the Number Plate and To Verify the Owner Det...inventionjournals
Any License plate recognition system usually passes through three steps of image processing: 1) Extraction of a license plate region; 2) Segmentation of the plate characters; and 3) Recognition of each character. A number of algorithms have been proposed in recent times for efficient disposal of the application. The purpose of this project was to develop a real time application which recognizes number plates from cars at a gate, for example at the entrance of a parking area or a border crossing. The system, based on regular PC with mobile camera, catches video frames which include a visible car number plate and processes them. Once a number plate is detected, its digits are recognized, displayed on the User Interface or checked against a database.The software aspect of the system runs on mobile hardware and can be linked to other applications or databases. It first uses a series of image manipulation techniques to detect, normalize and enhance the Image of the number plate, and then optical character recognition (ocr) to extract the alpha numeric text of number plate. The system are generally deployed in one of two basic approaches: one allows for the entire process to be performed at the lane location in real-time. The other will reveal the driver’s profile by checking in the registered database.
In the field of touchy processing, many people would access the touchy phones, keypads etc. where the disadvantage of touchy system is all about touch screen. So, to overcome this problem, we are going to develop a project based on touch less device which is used to access and process our data with minimum time complexity for optimization of the sourcing data. Our project contain marker to highlight required key term. Touch less detects both the size and location of “Marker’s Gestures” for writing purposes. Whereas the camera played a key role to select our object that is an image for it’s processing. In this, we are giving command on camera to identify the gestures by Touch less SDK and reducing manual efforts.
Markerless motion capture for 3D human model animation using depth cameraTELKOMNIKA JOURNAL
3D animation is created using keyframe based system in 3D animation software such as Blender and Maya. Due to the long time interval and the need of high expertise in 3D animation, motion capture devices were used as an alternative and Microsoft Kinect v2 sensor is one of them. This research analyses the capabilities of the Kinect sensor in producing 3D human model animations using motion capture and keyframe based animation system in reference to a live motion performance. The quality, time interval and cost of both animation results were compared. The experimental result shows that motion capture system with Kinect sensor consumed less time (only 2.6%) and cost (30%) in the long run (10 minutes of animation) compare to keyframe-based system, but it produced lower quality animation. This was due to the lack of body detection accuracy when there is obstruction. Moreover, the sensor’s constant assumption that the performer’s body faces forward made it unreliable to be used for a wide variety of movements. Furthermore, standard test defined in this research covers most body parts’ movements to evaluate other motion capture system.
Enhancing Security and Privacy Issue in Airport by Biometric based Iris Recog...idescitation
Few years ago a self service has been predominant way of passenger at airport.
For the passenger that is a very enjoyable and comfort situation because it keeps control
over all process during their complete journey. For airport and for airlines is also very
interesting evolution because self service allows increasing capacity of airport without any
significant extra investment. However success of self service induces one potential risk. That
is of lack of human contact between airline operator and passenger, there is a problem in
identifying a passenger. This is definitely the problem for immigrations forcibly. This
potential risk of the industry is needed to be addressed and biometrics definitely can solve
this kind of problem. Nowadays biometric is considered to be the most important and
reliable method for personal identification. Iris recognition is considered as most personal
identification.
Automated License Plate Recognition for Toll Booth ApplicationIJERA Editor
This paper describes the Smart Vehicle Screening System, which can be installed into a tollbooth for automated recognition of vehicle license plate information using a photograph of a vehicle. An automated system could then be implemented to control the payment of fees, parking areas, highways, bridges or tunnels, etc. There are considered an approach to identify vehicle through recognizing of it license plate using image fusion, neural networks and threshold techniques as well as some experimental results to recognize the license plate successfully.
Inpainting scheme for text in video a surveyeSAT Journals
Abstract
Text data present in video sequences provide useful information of paramount requirement. Although text present in video provide
useful information not all are of them are necessary because it may hide the important portion of the video. So there must way to
erase this type of unwanted text. This can be done in two phase first text components are detected from each frame of the video.
Detected text component are then removed from the video sequences. And restore the occluded part of the video using inpaint
method. This text detection and removal scheme is in two phases. Each phase is broad topic of image processing. Video text
detection and Inpainting are two most important phase in this scheme. Text detection phase consist of text localization, text
segmentation and recognition phase. Inpainting method is used for restoring occluded part produce due to removal of text.
Keywords—Optical Character Recognition(OCR), Stroke width transform, Text Detection,Connected Component
Character Recognition (Devanagari Script)IJERA Editor
Character Recognition is has found major interest in field of research and practical application to analyze and study characters in different languages using image as their input. In this paper the user writes the Devanagari character using mouse as a plotter and then the corresponding character is saved in the form of image. This image is processed using Optical Character Recognition in which location, segmentation, pre-processing of image is done. Later Neural Networks is used to identify all the characters by the further process of OCR i.e. by using feature extraction and post-processing of image. This entire process is done using MATLAB.
Mobile Based Application to Scan the Number Plate and To Verify the Owner Det...inventionjournals
Any License plate recognition system usually passes through three steps of image processing: 1) Extraction of a license plate region; 2) Segmentation of the plate characters; and 3) Recognition of each character. A number of algorithms have been proposed in recent times for efficient disposal of the application. The purpose of this project was to develop a real time application which recognizes number plates from cars at a gate, for example at the entrance of a parking area or a border crossing. The system, based on regular PC with mobile camera, catches video frames which include a visible car number plate and processes them. Once a number plate is detected, its digits are recognized, displayed on the User Interface or checked against a database.The software aspect of the system runs on mobile hardware and can be linked to other applications or databases. It first uses a series of image manipulation techniques to detect, normalize and enhance the Image of the number plate, and then optical character recognition (ocr) to extract the alpha numeric text of number plate. The system are generally deployed in one of two basic approaches: one allows for the entire process to be performed at the lane location in real-time. The other will reveal the driver’s profile by checking in the registered database.
In the field of touchy processing, many people would access the touchy phones, keypads etc. where the disadvantage of touchy system is all about touch screen. So, to overcome this problem, we are going to develop a project based on touch less device which is used to access and process our data with minimum time complexity for optimization of the sourcing data. Our project contain marker to highlight required key term. Touch less detects both the size and location of “Marker’s Gestures” for writing purposes. Whereas the camera played a key role to select our object that is an image for it’s processing. In this, we are giving command on camera to identify the gestures by Touch less SDK and reducing manual efforts.
Markerless motion capture for 3D human model animation using depth cameraTELKOMNIKA JOURNAL
3D animation is created using keyframe based system in 3D animation software such as Blender and Maya. Due to the long time interval and the need of high expertise in 3D animation, motion capture devices were used as an alternative and Microsoft Kinect v2 sensor is one of them. This research analyses the capabilities of the Kinect sensor in producing 3D human model animations using motion capture and keyframe based animation system in reference to a live motion performance. The quality, time interval and cost of both animation results were compared. The experimental result shows that motion capture system with Kinect sensor consumed less time (only 2.6%) and cost (30%) in the long run (10 minutes of animation) compare to keyframe-based system, but it produced lower quality animation. This was due to the lack of body detection accuracy when there is obstruction. Moreover, the sensor’s constant assumption that the performer’s body faces forward made it unreliable to be used for a wide variety of movements. Furthermore, standard test defined in this research covers most body parts’ movements to evaluate other motion capture system.
Traffic Light Detection and Recognition for Self Driving Cars using Deep Lear...ijtsrd
Self driving cars has the potential to revolutionize urban mobility by providing sustainable, safe, and convenient and congestion free transportability. Autonomous driving vehicles have become a trend in the vehicle industry. Many driver assistance systems DAS have been presented to support these automatic cars. This vehicle autonomy as an application of AI has several challenges like infallibly recognizing traffic lights, signs, unclear lane markings, pedestrians, etc. These problems can be overcome by using the technological development in the fields of Deep Learning, Computer Vision due to availability of Graphical Processing Units GPU and cloud platform. By using deep learning, a deep neural network based model is proposed for reliable detection and recognition of traffic lights TL . Aswathy Madhu | Sruthy S ""Traffic Light Detection and Recognition for Self Driving Cars using Deep Learning: Survey"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30030.pdf
Paper Url : https://www.ijtsrd.com/engineering/computer-engineering/30030/traffic-light-detection-and-recognition-for-self-driving-cars-using-deep-learning-survey/aswathy-madhu
Automatic Synthesis and Formal Verification of Interfaces Between Incompatibl...IDES Editor
In this work, we are concerned with automatic
synthesis and formal verification of interfaces between
incompatible soft intellectual properties (IPs) for System On
Chip (SOC) design. IPs Structural and dynamic aspects are
modeled via UML2.x diagrams such as structural, timing and
Statecharts diagrams. From these diagrams, interfaces are
generated automatically between incompatible IPs following
an interface synthesis algorithm. Interfaces behaviors
verification is performed by the model checker that is
integrated in Maude language. A Maude specification
including interface specification and properties for verification
are generated automatically from UML diagrams.
A RESEARCH - DEVELOP AN EFFICIENT ALGORITHM TO RECOGNIZE, SEPARATE AND COUNT ...Editor IJMTER
Coins are important part of our life. We use coins in a places like stores, banks, buses, trains
etc. So it becomes a basic need that coins can be sorted, counted automatically. For this, there is
necessary that the coins can be recognized automatically. Automated Coin Recognition System for the
Indian Coins of Rs. 1, 2, 5 and 10 with the rotation invariance. We have taken images from the both
sides of coin. So this system is capable to recognizing coins from both sides. Features are taken from the
images using techniques as a Hough Transformation, Pattern Averaging etc.
This paper presents the maneuver of mouse pointer and performs various mouse operations such as left
click, right click, double click, drag etc using gestures recognition technique. Recognizing gestures is a
complex task which involves many aspects such as motion modeling, motion analysis, pattern recognition
and machine learning.
Keeping all the essential factors in mind a system has been created which recognizes the movement of
fingers and various patterns formed by them. Color caps have been used for fingers to distinguish it from
the background color such as skin color. Thus recognizing the gestures various mouse events have been
performed. The application has been created on MATLAB environment with operating system as windows
7.
FPGA Based Pattern Generation and Synchonization for High Speed Structured Li...TELKOMNIKA JOURNAL
Recently, structured light 3D imaging devices have gained a keen attention due to their potential
applications to robotics, industrial manufacturing and medical imaging. Most of these applications require
high 3D precision yet high speed in image capturing for hard and/or soft real time environments. This
paper presents a method of high speed image capturing for structured light 3D imaging sensors with FPGA
based structured light pattern generation and projector-camera synchronization. Suggested setup reduces
the time for pattern projection and camera triggering to 16msec from 100msec that should be required by
conventional methods.
Improve Captcha's Security Using Gaussian Blur Filtersipij
Providing security for webservers against unwanted and automated registrations has become a big
concern. To prevent these kinds of false registrations many websites use CAPTCHAs. Among all kinds of
CAPTCHAs OCR-Based or visual CAPTCHAs are very common. Actually visual CAPTCHA is an image
containing a sequence of characters. So far most of visual CAPTCHAs, in order to resist against OCR
programs, use some common implementations such as wrapping the characters, random placement and
rotations of characters, etc. In this paper we applied Gaussian Blur filter, which is an image
transformation, to visual CAPTCHAs to reduce their readability by OCR programs. We concluded that this
technique made CAPTCHAs almost unreadable for OCR programs but, their readability by human users
still remained high.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
Color based image processing , tracking and automation using matlabKamal Pradhan
Image processing is a form of signal processing in which the input is an image, such as a photograph or video frame. The output of image processing may be either an image or, a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it. This project aims at processing the real time images captured by a Webcam for motion detection and Color Recognition and system automation using MATLAB programming.
In color based image processing we work with colors instead of object. Color provides powerful information for object recognition. A simple and effective recognition scheme is to represent and match images on the basis of color histograms.
Tracking refers to detection of the path of the color once the color based processing is done the color becomes the object to be tracked this can be very helpful in security purposes.
Automation refers to an automated system is any system that does not require human intervention. In this project I’ve automated the mouse that work with our gesture and do the desired tasks.
Generating images from a text description is as challenging as it is interesting. The Adversarial network
performs in a competitive fashion where the networks are the rivalry of each other. With the introduction of
Generative Adversarial Network, lots of development is happening in the field of Computer Vision. With
generative adversarial networks as the baseline model, studied Stack GAN consisting of two-stage GANS
step-by-step in this paper that could be easily understood. This paper presents visual comparative study of
other models attempting to generate image conditioned on the text description. One sentence can be related
to many images. And to achieve this multi-modal characteristic, conditioning augmentation is also
performed. The performance of Stack-GAN is better in generating images from captions due to its unique
architecture. As it consists of two GANS instead of one, it first draws a rough sketch and then corrects the
defects yielding a high-resolution image.
A SEMI-BLIND WATERMARKING SCHEME FOR RGB IMAGE USING CURVELET TRANSFORMijfcstjournal
In this paper, a semi-blind watermarking technique of embedding the color watermark using curvelet coefficient in RGB cover image has been proposed. The technique used the concept of HVS that the human eyes are not much sensitive to blue color. So the blue color plane of the cover image is used as embedding domain. A bit planes method is also used, the most significant bit (MSB) plane of watermark image is used
as embedding information. Selected scale and orientation of the curvelet coefficients of the blue channel in the cover image has been used for embedding the watermark information. All other 0-7 bit planes are used as a key at the time of extraction. The results of the watermarking scheme have been analyzed by different quality assessment metric such as PSNR, Correlation Coefficient (CC) and Mean Structure Similarity Index Measure (MSSIM). The experimental results show that the proposed technique gives the good invisibility of watermark, quality of extracted watermark and robustness against different attacks.
Todo Mundo é Games foi uma oficina ministrada na 8ª Semana Acadêmica do Desenho Industrial da UFSM, sobre o Manifesto Pelo Século Lúdico (de Eric Zimmerman), pensamento sistêmico e criatividade, e um pouco do futuro dos jogos e tecnologias emergentes. Foi bem louco.
Traffic Light Detection and Recognition for Self Driving Cars using Deep Lear...ijtsrd
Self driving cars has the potential to revolutionize urban mobility by providing sustainable, safe, and convenient and congestion free transportability. Autonomous driving vehicles have become a trend in the vehicle industry. Many driver assistance systems DAS have been presented to support these automatic cars. This vehicle autonomy as an application of AI has several challenges like infallibly recognizing traffic lights, signs, unclear lane markings, pedestrians, etc. These problems can be overcome by using the technological development in the fields of Deep Learning, Computer Vision due to availability of Graphical Processing Units GPU and cloud platform. By using deep learning, a deep neural network based model is proposed for reliable detection and recognition of traffic lights TL . Aswathy Madhu | Sruthy S ""Traffic Light Detection and Recognition for Self Driving Cars using Deep Learning: Survey"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30030.pdf
Paper Url : https://www.ijtsrd.com/engineering/computer-engineering/30030/traffic-light-detection-and-recognition-for-self-driving-cars-using-deep-learning-survey/aswathy-madhu
Automatic Synthesis and Formal Verification of Interfaces Between Incompatibl...IDES Editor
In this work, we are concerned with automatic
synthesis and formal verification of interfaces between
incompatible soft intellectual properties (IPs) for System On
Chip (SOC) design. IPs Structural and dynamic aspects are
modeled via UML2.x diagrams such as structural, timing and
Statecharts diagrams. From these diagrams, interfaces are
generated automatically between incompatible IPs following
an interface synthesis algorithm. Interfaces behaviors
verification is performed by the model checker that is
integrated in Maude language. A Maude specification
including interface specification and properties for verification
are generated automatically from UML diagrams.
A RESEARCH - DEVELOP AN EFFICIENT ALGORITHM TO RECOGNIZE, SEPARATE AND COUNT ...Editor IJMTER
Coins are important part of our life. We use coins in a places like stores, banks, buses, trains
etc. So it becomes a basic need that coins can be sorted, counted automatically. For this, there is
necessary that the coins can be recognized automatically. Automated Coin Recognition System for the
Indian Coins of Rs. 1, 2, 5 and 10 with the rotation invariance. We have taken images from the both
sides of coin. So this system is capable to recognizing coins from both sides. Features are taken from the
images using techniques as a Hough Transformation, Pattern Averaging etc.
This paper presents the maneuver of mouse pointer and performs various mouse operations such as left
click, right click, double click, drag etc using gestures recognition technique. Recognizing gestures is a
complex task which involves many aspects such as motion modeling, motion analysis, pattern recognition
and machine learning.
Keeping all the essential factors in mind a system has been created which recognizes the movement of
fingers and various patterns formed by them. Color caps have been used for fingers to distinguish it from
the background color such as skin color. Thus recognizing the gestures various mouse events have been
performed. The application has been created on MATLAB environment with operating system as windows
7.
FPGA Based Pattern Generation and Synchonization for High Speed Structured Li...TELKOMNIKA JOURNAL
Recently, structured light 3D imaging devices have gained a keen attention due to their potential
applications to robotics, industrial manufacturing and medical imaging. Most of these applications require
high 3D precision yet high speed in image capturing for hard and/or soft real time environments. This
paper presents a method of high speed image capturing for structured light 3D imaging sensors with FPGA
based structured light pattern generation and projector-camera synchronization. Suggested setup reduces
the time for pattern projection and camera triggering to 16msec from 100msec that should be required by
conventional methods.
Improve Captcha's Security Using Gaussian Blur Filtersipij
Providing security for webservers against unwanted and automated registrations has become a big
concern. To prevent these kinds of false registrations many websites use CAPTCHAs. Among all kinds of
CAPTCHAs OCR-Based or visual CAPTCHAs are very common. Actually visual CAPTCHA is an image
containing a sequence of characters. So far most of visual CAPTCHAs, in order to resist against OCR
programs, use some common implementations such as wrapping the characters, random placement and
rotations of characters, etc. In this paper we applied Gaussian Blur filter, which is an image
transformation, to visual CAPTCHAs to reduce their readability by OCR programs. We concluded that this
technique made CAPTCHAs almost unreadable for OCR programs but, their readability by human users
still remained high.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
Color based image processing , tracking and automation using matlabKamal Pradhan
Image processing is a form of signal processing in which the input is an image, such as a photograph or video frame. The output of image processing may be either an image or, a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it. This project aims at processing the real time images captured by a Webcam for motion detection and Color Recognition and system automation using MATLAB programming.
In color based image processing we work with colors instead of object. Color provides powerful information for object recognition. A simple and effective recognition scheme is to represent and match images on the basis of color histograms.
Tracking refers to detection of the path of the color once the color based processing is done the color becomes the object to be tracked this can be very helpful in security purposes.
Automation refers to an automated system is any system that does not require human intervention. In this project I’ve automated the mouse that work with our gesture and do the desired tasks.
Generating images from a text description is as challenging as it is interesting. The Adversarial network
performs in a competitive fashion where the networks are the rivalry of each other. With the introduction of
Generative Adversarial Network, lots of development is happening in the field of Computer Vision. With
generative adversarial networks as the baseline model, studied Stack GAN consisting of two-stage GANS
step-by-step in this paper that could be easily understood. This paper presents visual comparative study of
other models attempting to generate image conditioned on the text description. One sentence can be related
to many images. And to achieve this multi-modal characteristic, conditioning augmentation is also
performed. The performance of Stack-GAN is better in generating images from captions due to its unique
architecture. As it consists of two GANS instead of one, it first draws a rough sketch and then corrects the
defects yielding a high-resolution image.
A SEMI-BLIND WATERMARKING SCHEME FOR RGB IMAGE USING CURVELET TRANSFORMijfcstjournal
In this paper, a semi-blind watermarking technique of embedding the color watermark using curvelet coefficient in RGB cover image has been proposed. The technique used the concept of HVS that the human eyes are not much sensitive to blue color. So the blue color plane of the cover image is used as embedding domain. A bit planes method is also used, the most significant bit (MSB) plane of watermark image is used
as embedding information. Selected scale and orientation of the curvelet coefficients of the blue channel in the cover image has been used for embedding the watermark information. All other 0-7 bit planes are used as a key at the time of extraction. The results of the watermarking scheme have been analyzed by different quality assessment metric such as PSNR, Correlation Coefficient (CC) and Mean Structure Similarity Index Measure (MSSIM). The experimental results show that the proposed technique gives the good invisibility of watermark, quality of extracted watermark and robustness against different attacks.
Todo Mundo é Games foi uma oficina ministrada na 8ª Semana Acadêmica do Desenho Industrial da UFSM, sobre o Manifesto Pelo Século Lúdico (de Eric Zimmerman), pensamento sistêmico e criatividade, e um pouco do futuro dos jogos e tecnologias emergentes. Foi bem louco.
Breve apresentação ilustrada dos Direitos Morais do Autor, artigos 24 a 27 da Lei de Direito Autoral (9610/98), desenvolvida para a disciplina de Introdução ao Direito de Propriedade Intelectual,no curso de Desenho Industrial da Universidade Federal de Santa Maria.
Terceira aula pertencente a Oficina de Distribuição e Marketing para Cinema, ministrada pelo Diretor e Produtor de audiovisual José Agripino. Bagé - Rio Grande do Sul
Março/2013
An Area-efficient Montgomery Modular Multiplier for CryptosystemsIJERA Editor
RSA is one of the most widely adopted public key algorithms at present and it requires repeated modular
multiplications to accomplish the computation of modular exponentiation. A famous approach to implement
modular multiplication in hardware circuits is based on the Montgomery modular multiplication algorithm since
it has many advantages. To speed up the encryption/decryption process, many high-speed Montgomery modular
multiplication algorithms and hardware architectures employ carry-save addition. But CSA based architecture
increases the area. In this paper, in order to reduce the area of the CSA based multiplier, an area-efficient
algorithm called Double Add Reduce algorithm is introduced. Then the performance analysis of the new design
with the previous had done for comparison.
Creating 3D vehicle model is complex process that requires basic knowledge of polygonal modeling. In
this research, environment map is used as lighting with HDRI image.The final process of converting 3D
scene to 2D image is called rendering. Image data will be obtained in four ways with various toolsets used
in 3ds Max. They are: Scaneline, V-Ray, Mental Ray and Corona Renderer. At final step was made critical
analysis on all of these techniques on the same computer system and excellent results were obtained.
COMPARISON OF RENDERING PROCESSES ON 3D MODELijcsit
Creating 3D vehicle model is complex process that requires basic knowledge of polygonal modeling. In this research, environment map is used as lighting with HDRI image.The final process of converting 3D scene to 2D image is called rendering. Image data will be obtained in four ways with various toolsets used in 3ds Max. They are: Scaneline, V-Ray, Mental Ray and Corona Renderer. At final step was made critical analysis on all of these techniques on the same computer system and excellent results were obtained.
Creating 3D vehicle model is complex process that requires basic knowledge of polygonal modeling.In this research, environment map is used as lighting with HDRI image.The final process of converting 3D scene to 2D image is called rendering.Image data will be obtained in four ways with various toolsets used in 3ds Max. They are: Scaneline, V-Ray, Mental Ray and Corona Renderer. At final step was made critical analysis on all of these techniques on the same computer system and excellent results were obtained.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Online aptitude test management system project report.pdfKamal Acharya
The purpose of on-line aptitude test system is to take online test in an efficient manner and no time wasting for checking the paper. The main objective of on-line aptitude test system is to efficiently evaluate the candidate thoroughly through a fully automated system that not only saves lot of time but also gives fast results. For students they give papers according to their convenience and time and there is no need of using extra thing like paper, pen etc. This can be used in educational institutions as well as in corporate world. Can be used anywhere any time as it is a web based application (user Location doesn’t matter). No restriction that examiner has to be present when the candidate takes the test.
Every time when lecturers/professors need to conduct examinations they have to sit down think about the questions and then create a whole new set of questions for each and every exam. In some cases the professor may want to give an open book online exam that is the student can take the exam any time anywhere, but the student might have to answer the questions in a limited time period. The professor may want to change the sequence of questions for every student. The problem that a student has is whenever a date for the exam is declared the student has to take it and there is no way he can take it at some other time. This project will create an interface for the examiner to create and store questions in a repository. It will also create an interface for the student to take examinations at his convenience and the questions and/or exams may be timed. Thereby creating an application which can be used by examiners and examinee’s simultaneously.
Examination System is very useful for Teachers/Professors. As in the teaching profession, you are responsible for writing question papers. In the conventional method, you write the question paper on paper, keep question papers separate from answers and all this information you have to keep in a locker to avoid unauthorized access. Using the Examination System you can create a question paper and everything will be written to a single exam file in encrypted format. You can set the General and Administrator password to avoid unauthorized access to your question paper. Every time you start the examination, the program shuffles all the questions and selects them randomly from the database, which reduces the chances of memorizing the questions.
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Deblurring, Localization and Geometry Correction of 2D QR Bar Codes Using Richardson Lucy Method
1. A Singh Bhandari et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 9( Version 1), September 2014, pp.12-17
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Deblurring, Localization and Geometry Correction of 2D QR Bar Codes Using Richardson Lucy Method Manpreet Kaur*, Amandeep Singh Bhandari**, Charanjit Singh*** *(Student, Department of Electronics and Communication Engg., Punjabi University, Patiala) ** (Assistant Professor, Department of Electronics and Communication Engg., Punjabi University, Patiala) *** (Assistant Professor, Department of Electronics and Communication Engg., Punjabi University, Patiala) Abstract This paper includes the recognition of 2D QR bar codes. This paper describes the deblurring, localization and geometry correction of 2D QR bar codes. The images captured are blurred due motion between the image and the camera. Hence the image containing the QR barcode cannot be read by QR reader. To make the QR barcode readable the images are need to be deblurred. Lucy Richardson method and Weiner Deconvolution Method is used to deblurr and localize the bar code. From both of the methods Lucy Richardson Method is best because this method takes less time for execution than the other method. Simulink Model is used for the Geometry correction of the QR bar code. In future, we would like to investigate the generalization of our algorithm to handle more complicated motion blur. KEYWORDS: - 2D QR bar code image, smart phone camera, Richardson Lucy Method, Vision assistant module from lab view.
I. INTRODUCTION
QR code is a short stand for quick response code as the creator intended the code to allow its contents to be decoded at high speed. QR Code is a two- dimensional symbol. It was invented in 1994 by Denso, one of major Toyota group companies, and approved as an ISO international standard (ISO/IEC18004) in June 2000. This two-dimensional symbol was initially intended for use in production control of automotive parts, but it has become widespread in other fields. Now QR Code is seen and used everyday everywhere. The primary objective was to create a "code read easily by the scanner equipment". The QR Code is an information matrix that carries meaningful in the vertical direction as nicely as the horizontal, hence the two-dimensional term. By carrying in each direction, QR Codes can carry up to several hundred times the amount of information carried by 1dimensional bar codes. QR Codes, otherwise known as “quick response codes” are part of a whole new way of connecting with consumers via their smart phones and mobile devices.
II. STRUCTURE OF QR BARCODE Figure 1: Structure of Bar Code Problem definition
We can see the QR barcode now a days can be seen everywhere. QR barcode is a 2D barcode and it can store more information in comparison to 1D barcode. QR barcodes are been used by many marketing companies for advertisements. Just one click of a QR barcode with a phone having barcode scanner application, can decode the barcode and one can retrieve information stored in it. Now the problem is when the image is captured may be the image is been captured in low contrast, uneven
RESEARCH ARTICLE OPEN ACCESS
2. A Singh Bhandari et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 9( Version 1), September 2014, pp.12-17
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illumination and blur motion can be added. One more problem may arise that is the geometry of the code may be distorted if while capturing the image projection angle is not correct. Now if the images are blurred and the geometry of the code has been distorted it is not possible to read the code as it is the requirement of the code reader that the image should be correct in geometry means the QR code should be a perfect square and image should not be blurred. Now algorithm should be such that it can deblur the blurred images and script can read the code properly and the second thing is algorithm should be able to correct the geometry of the code, it should make the code a perfect square so that it can be recognized by the script. Experiments steps and measurement Step1: The images captured are blurred due motion between the image and the camera. Hence the image containing the QR barcode cannot be read by QR reader. To make the QR barcode readable the images are need to be deblurred. Richardson Lucy Method and Wiener Deconvolution method is used to deblurr the image. For this step MATLAB has been used. Deblurring of the image is done in MATLAB.
Deblurring with the Lucy-Richardson Algorithm Use the deconvlucy function to deblur an image using the accelerated, damped, Lucy-Richardson algorithm. The algorithm maximizes the likelihood that the resulting image, when convolved with the PSF, is an instance of the blurred image, assuming Poisson noise statistics. This function can be effective when you know the PSF, but know little about the noise. To illustrate a simple use of deconvlucy, a blurred, noisy image by convolving a Gaussian filter PSF with an image (using imfilter) and then adding Gaussian noise of variance V to the blurred image (using imnoise).
Figure 2: Original Image
Figure 3: Blurred Image Deblurring the Image Use deconvlucy to restore the blurred and noisy image, specifying the PSF used to create the blur, and limiting the number of iterations to 5.
Figure 4: Restored Image Refining the Result
The deconvlucy function, by default, performs multiple iterations of the deblurring process. You can stop the processing, after a certain number of iterations, to check the result, and then restart the iterations from the point where processing stopped. To do this, pass in the input image as a cell array, for example, {Blurred Noisy}. The deconvlucy function returns the output image as a cell array which you can then pass as an input argument to deconvlucy to restart the deconvolution.
The output cell array contains these four elements:
output{1} -- The original input image
output{2} -- The image produced by the last iteration
output{3} -- The image produced by the next-to- last iteration
3. A Singh Bhandari et al Int. Journal of Engineering Research and Applications www.ijera.com
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output{4} -- Internal information used by deconvlucy to know where to restart the process
The deconvlucy function supports several other optional arguments you can use to achieve the best possible result, such as specifying a damping parameter to handle additive noise in the blurred image. To see the impact of these optional arguments, view the Image Processing Toolbox Deblurring Demos. Figure 5: Matlab‟s Editor Window Step2: after the image has been deblurred the QR code can be detected using vision assistant. So now we will use vision assistant to read QR code for that we will use few features of the software which are discussed below one by one with proper results. When we will start software the start window will appear like the figure below: Figure 6: Vision demo Geometry correction:
Simulink is an environment for multi-domain simulation and Model-Based Design for dynamic and embedded systems. It provides an interactive graphical environment and a customizable set of block libraries that let you design, simulate, implement, and test a variety of time-varying systems, including communications, controls, signal processing, video processing, and image processing. Simulink is integrated with MATLAB®, providing immediate access to an extensive range of tools that let you develop algorithms, analyze and visualize simulations, create batch processing scripts, customize the modeling environment, and define signal, parameter, and test data.
III. TO CREATE SIMULINK MODEL
Type simulink(„open‟) in command window. It will open the simulink library browser window from where the necessary blocks can be selected to design simulink model. The window will appear like the figure below
Figure 7: Simulink Module Blocks Used- Select the shape you want to convert. Your choices are Rectangle to quadrilateral, Quadrilateral to rectangle, or Quadrilateral to quadrilateral. Use the Projective Transformation block to transform your rectangular image into a quadrilateral. Set the Quadrilateral vertices [r1,c1,...,r4,c4] parameter. Use the Image from Workspace block to import an image into your model.
4. A Singh Bhandari et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 9( Version 1), September 2014, pp.12-17
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The original quadrilateral image appears in the Video Viewer1 window
Figure 8: Input image The square image appears in the Video Viewer2 window. Figure 9: Output image Results:- Deblurring Of Images:-
Figure 10: Original image
Figure 11: Blurred image Use deconvlucy to restore the blurred and noisy image, specifying the PSF used to create the blur, and limiting the number of iterations to 5.
Figure 12: Deblurred image Database of 50 deblurred images at different PSF values were taken and the estimated time has been noted and it conclude that 50 deblurred images can be read properly and the total estimated time taken by the algorithm to read 50 images is 14.1 seconds. Geometry Correction: the QR barcode is in the form of a quadrilateral it is not a perfect square. If we try to read this barcode then code reader will fail to read it. So that we have to do is to first correct the geometry of the distorted code to make it a square so that the code can be read by our script. Now what we will do is, will run a MATLAB program. The program will find the four vertices of the quadrilateral and using that vertices in the Simulink model we will provide these coordinates to the projective transformation block as an input and accordingly the Simulink model will provide a square. Now this square code can be read by our script.
5. A Singh Bhandari et al Int. Journal of Engineering Research and Applications www.ijera.com
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Run The Simulink Model:
Figure 13: Simulink model for geometry correction
Figure 14: Output of video viewer: same as input
Figure 15: Output of video viewer1:-Required output.
IV. Conclusion
In this thesis we have to recognize the QR barcode which is blurred. First we have to deblurr the image using Richardson Lucy Method in MATLAB. For deblurring the image we choose different values of blur length (Len) and blur angle (theta) and we examine that at which value of Len and theta the image is deblurred and the code is readable. After deblurring the image the deblurred image is read in vision assistant and the time taken to read the code is estimated. The method is relatively accurate for lengths between 10 to 40, but breaks down at large blur lengths. We deblurr three images using different values of Len and Theta and in this way we collect a database of 50 images and passed it through our script in vision assistant. The time estimated to read 50 deblurred images is 14.1secs. We observe that most of the computing time is spend on testing large blur sizes. Second thing we did is to correct the geometry of the distorted QR code using MATLAB, Labview and Simulink model. We write a program in MATLAB to find the four vertices of distorted code and with the help of these vertices in Simulink model we corrected the geometry. Now this corrected code is passed through our script and the QR code can be read.
V. Future Scope
In future, we would like to investigate the generalization of our algorithm to handle more complicated motion blur. In particular, we are interested in developing a localize version of our algorithm to identify the block-wise blurring kernels of a given blurred image. With such an algorithm in hand, we will be able to restore the motion blurred image caused by fast-moving objects in the scene. References
[1]. Yanming Zhou, et al. (2006) “Camera Readable 2D Bar Codes Design and Decoding for Mobile Phones” in Image Processing, 2006 IEEE International Conference on Digital Object Identifier: 10. 1109/ICIP.2006.312495 Publication Year: 2006, Page(s): 469 – 472.
[2]. Hyotaek Lim, et al.(2010) “Online banking authentication system usingmobile- OTP with QR-code” in International Conference Computer Sciences and Convergence Information Technology (ICCIT), 2010 5th International Conference on Digital Object Identifier:10.1109/ICCIT. 2010.5711134 Publication Year: 2010, Page(s): 644 – 648.
[3]. Aidong Sun, et al.(2007) “The QR-de reorganization in illegible snapshotstaken by mobile phones” in Computational Science
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ISSN : 2248-9622, Vol. 4, Issue 9( Version 1), September 2014, pp.12-17
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and its Applications, 2007. ICCSA 2007. International Conference on Digital Object Identifier: 10.1109/ICCSA.2007.86 Publication Year: 2007, Page(s): 532 - 538 Cited by: 4.
[4]. Hanaizumi, et al.(2004) “Barcode readers using the camera device in mobile phones” in Cyber worlds, 2004 International Conference on Digital Object Identifier: 10. 1109/CW.2004.23 Publication Year: 2004, Page(s): 260 -265 Cited by: 11.
[5]. Hui Ji, et al. (2008) “Motion blur identification from image gradients” in Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on Digital Object Identifier: 10.1109/CVPR. 2008.4587537 Publication Year: 2008, Page (s): 1 - 8 Cited by: 5
[6]. Changsheng Chen, et al.(2010) “quality measure of mobile phone captured 2Dbarcode images” in Image Processing (ICIP), 2010 17th IEEE International Conference on Digital Object Identifier: 10.1109/ICIP. 2010.5654007 Publication Year: 2010, Page(s): 329 – 332. [7]. ZhaoxuanYang, et al.(2010) “robust and fast localization algorithm for data matrix barcode” in optoelectronics and image processing(ICOIP), 2010 International conference on Volume:2 Digital Object Identifier: 10.1109/ICOIP.2010.299 Publication Year: 2010 , Page(s): 356 – 359. [8]. Puchong Subpratatsavee, et al.(2014) “HC2D Barcode Reader using Embedded Camera in Android Phone” in 11th International Joint Conference on Computer Science and Software Engineering (JCSSE). [9]. Bingsheng Zhang, et al.(2014) “SBVLC: Secure Barcode-based Visible Light Communication for Smartphones” in IEEE INFOCOM 2014 - IEEE Conference on Computer Communications. [10]. Yu Xiaoyang, et al.(2013) “Research and Achievement of QR Code Encryption Based on Cellular Automata” in 2nd International Conference on Measurement, Information and Control. [11]. Pei-Yu Lin, et al. (2013) “Secret Hiding Mechanism Using QR Barcode” in International Conference on Signal-Image Technology & Internet-Based Systems. [12]. Marco Querini and Giuseppe F. Italiano, et al.(2013) “Color Classifiers for 2D Color Barcodes” in Proceedings of the 2013 Federated Conference on Computer Science and Information Systems pp. 611–618..
[13]. Saber Dinparast, et al.(2013) “A Mobile Payment Scheme Using 2D-Barcode” in 2013 5th Conference on Information and Knowledge Technology.
[14]. Toshihiko Wakahara, et al.(2011) “Image Processing of 2-Dimensional Barcode” in International Conference on Network-Based Information Systems. [15]. Chanwoo Chun, et al.(2012) “Pilot-based 2D-Barcode Image Restoration using Successive Interference Cancellation”.