Fingerprints are one of many forms of biometrics used to identify individuals and verify their identity.
fully touchless fingerprint recognition system based on the computation of three-dimensional models.
Models from two view image captured during movement
Noise processing methods for Media Processor SOCEditor IJCATR
: Images taken with both digital cameras and conventional film cameras will pick up noise from a variety of sources. Many
further uses of these images require that the noise will be (partially) removed - for aesthetic purposes as in artistic work or marketing,
or for practical purposes such as computer vision. Various types of noises include improper black level, salt-and-pepper noise, speckle
noise, etc. These noises can be removed with the help of a media processor SOC. The approach mentioned here explains the methods
that can be used to remove the above mentioned noises. Each method is explained in detail with necessary diagrams.
This paper presents crack detection in concrete structure based on fuzzy logic. Safety inspection of concrete structures is very important since it is closely related with the structural health and reliability. Automated structural health monitoring system becomes necessity in recent years that encourages various researches to be going on in this area. Cheap availability of digital cameras makes research work in this field easier. This paper presents digital image processing and fuzzy logic based efficient crack detection technique in concrete structure. Here features from digital image of concrete structure are extracted by using morphological image processing technique and then extracted features are fed to fuzzy logic to accurately identify the crack.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Design and development of sapling monitoring systemIJCSEA Journal
The measurement of a plant growth without interrupting its natural growth is essential since its diameter and height are related to the development of a tree as well as the water contents. Therefore main objective of this project is to find the diameter and height of a plant. Hence in this proposed work, an interface between a C3008 smart camera and a computer has been developed. Main advantage of this camera module is that it has digital output and digital video port that supplies a continuous 8-16 bit range of data stream. It is used to capture the image of a plant at different intervals of time. A MATLAB GUI has been developed for performing Sobel Edge Detection on a plant image to determine its height, maximum and minimum width. Such programs enable us to automatically measure and record the various parameters of a plant. The results attained prove that the system is capable of measuring the changes (diameter and height changes) of plant’s growth accurately.
Quick textured mesh generation for massive 3D digitization of museum artifacts3D ICONS Project
Gonizzi Barsanti, S., Micoli, L.L., Guidi, G., "Quick textured mesh generation for massive 3D digitization of museum artifacts", 2013 Digital Heritage International Congress (DigitalHeritage), Vol. 1, pp. 197-201, IEEE, 2013. ISBN 978-1-4799-3169-9.
Noise processing methods for Media Processor SOCEditor IJCATR
: Images taken with both digital cameras and conventional film cameras will pick up noise from a variety of sources. Many
further uses of these images require that the noise will be (partially) removed - for aesthetic purposes as in artistic work or marketing,
or for practical purposes such as computer vision. Various types of noises include improper black level, salt-and-pepper noise, speckle
noise, etc. These noises can be removed with the help of a media processor SOC. The approach mentioned here explains the methods
that can be used to remove the above mentioned noises. Each method is explained in detail with necessary diagrams.
This paper presents crack detection in concrete structure based on fuzzy logic. Safety inspection of concrete structures is very important since it is closely related with the structural health and reliability. Automated structural health monitoring system becomes necessity in recent years that encourages various researches to be going on in this area. Cheap availability of digital cameras makes research work in this field easier. This paper presents digital image processing and fuzzy logic based efficient crack detection technique in concrete structure. Here features from digital image of concrete structure are extracted by using morphological image processing technique and then extracted features are fed to fuzzy logic to accurately identify the crack.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Design and development of sapling monitoring systemIJCSEA Journal
The measurement of a plant growth without interrupting its natural growth is essential since its diameter and height are related to the development of a tree as well as the water contents. Therefore main objective of this project is to find the diameter and height of a plant. Hence in this proposed work, an interface between a C3008 smart camera and a computer has been developed. Main advantage of this camera module is that it has digital output and digital video port that supplies a continuous 8-16 bit range of data stream. It is used to capture the image of a plant at different intervals of time. A MATLAB GUI has been developed for performing Sobel Edge Detection on a plant image to determine its height, maximum and minimum width. Such programs enable us to automatically measure and record the various parameters of a plant. The results attained prove that the system is capable of measuring the changes (diameter and height changes) of plant’s growth accurately.
Quick textured mesh generation for massive 3D digitization of museum artifacts3D ICONS Project
Gonizzi Barsanti, S., Micoli, L.L., Guidi, G., "Quick textured mesh generation for massive 3D digitization of museum artifacts", 2013 Digital Heritage International Congress (DigitalHeritage), Vol. 1, pp. 197-201, IEEE, 2013. ISBN 978-1-4799-3169-9.
Gabor filter is a powerful way to enhance biometric images like fingerprint images in order to extract correct features from these images, Gabor filter used in extracting features directly asin iris images, and sometimes Gabor filter has been used for texture analysis. In fingerprint images The even symmetric Gabor filter is contextual filter or multi-resolution filter will be used to enhance fingerprint imageby filling small gaps (low-pass effect) in the direction of the ridge (black regions) and to increase the discrimination between ridge and valley (black and white regions) in the direction, orthogonal to the ridge, the proposed method in applying Gabor filter on fingerprint images depending on translated fingerprint image into binary image after applying some simple enhancing methods to partially overcome time consuming problem of the Gabor filter.
Fingerprints vary person to person i.e. no two persons can have same fingerprint ridge structures, so they play a major role in unique identification of human beings. Fingerprints of human beings are unique and persistent. Hence, in biometric identification applications, Automatic Fingerprint Identification System (AFIS) is emerging as a popular technology. The whole performance of the system depends on the quality of finger print images. Keeping in mind the above fact, this paper is solely based on fingerprint image enhancement so as to improve the quality of fingerprints, which makes feature (minutiae) extraction reliable.
Cracks on the concrete surface are one of the earliest symptoms of degradation of the structure which isfundamental for the upkeep as properly the non-stop publicity will lead to the severe injury to the environment.Manual inspection is the acclaimed approach for the crack inspection. In the guide inspection, the diagram of thecrack is organized manually, and the conditions of the irregularities are noted. Since the guide strategy absolutelyrelies upon on the specialist’s expertise and experience, it lacks objectivity in the quantitative analysis. So,automated image-based crack detection is proposed as a replacement. The proposed gadget comprises pictureprocessing and facts acquisition methodologies for crack detection and evaluation of surface degradation. Theacquired outcomes exhibit that the deployment of image processing in an nice way is a key step towards theinspection of giant infrastructures
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IJRET-V1I1P2 -A Survey Paper On Single Image and Video Dehazing MethodsISAR Publications
Most of the computer applications use digital images. Digital image processing acts an important
role in the analysis and interpretation of data, which is in the digital form. Images taken in foggy
weather condition often suffer from poor visibility and clarity. After the study of several fast
dehazing methods like Tan’s dehazing technique, Fattal’s dehazing technique and aiming Heat al
dehazing technique, Dark Channel Prior (DCP) intended by He et al is most substantive technique
for dehazing.This survey aims to study about various existing methods such as polarization, dark
channel prior, depth map based method etc. are used for dehazing.
Haze removal for a single remote sensing image based on deformed haze imaging...LogicMindtech Nologies
IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
Implementation of multiple 3D scans for error calculation on object digital r...IJERA Editor
Laser scanning is a widespread methodology of visualizing the natural environment and the manmade structures that exist in it. Laser scanners accomplish to digitalize our reality by making highly accurate measurements. Using these measurements they create a set of points in 3D space which is called point cloud and depicts an entire area or object or parts of them. Triangulation laser scanners use the triangle theories and they mainly are used to visualize handheld objects at a very close range from them. In many cases, users of such devices take for granted the accuracy specifications provided by laser scanner manufacturers and respective software and for many applications this is enough. In this paper we use point clouds, collected by a triangulation laser scanner under a repetition method, of two cubes that are geometrically similar to each other but differ in material. At first, the data of each repetition are being compared to each other to examine the consistency of the scanner under multiple measurements of the same scene. Then, the reconstruction of the objects‟ geometry is achieved and the results are being compared to the data derived by a digital caliper. The errors of calculated dimensions were estimated by the use of error propagation law.
Edge detection of herbal plants is a set of mathematical methods which aim at identifying points in a digital image at which the image brightness changes sharply and has discontinuities. They are defined as the set of curved line segments termed edges. Effective edge detection for microscopic image of herbal plant is proposed through this paper which compares the edge detected images and then performs further segmentation. Comparison between Sobel operator, Prewitt, Canny and Robert cross operators is performed. Our method after efficient edge detection performs Gabor filter and K-means clustering to procure a better image. It is then subjected to further segmentation. Experimental methods in our proposed algorithm show that our method achieves a better edge detection as compared to other edge detector operators. Our proposed algorithm provides the maximum PSNR value of 43.684 amongst the other commercial edge detection operators.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Defect detecting of PCB using Image processing in this it included the basic principal that enhancing the image quality through the image processing technique and this compare with the original image and ideal image and defect detect through the subtraction method
Abstract Edge detection is a fundamental tool used in most image processing applications. We proposed a simple, fast and efficient technique to detect the edge for the identifying, locating sharp discontinuities in an image and boundary of an image. In this paper, we found that proposed method called LookUp Table performs well, which requires least computational time as compared to conventional Edge Detection techniques. And also in this paper we presented a comparative performance of various conventional Edge Detection Techniques. Keywords: Edge detectors, Lookup table.
Introduction to Digital Image Correlation (DIC)Instron
This presentation introduces Digital Image Correlation, the optical technique that compares images of a tested specimen’s surface to generate full-field strain and displacement maps.
Touchless and less-constrained 3D fingerprint recognitionAngelo Genovese
Biometrics
Fingerprint biometrics
Touchless fingerprint biometrics
Proposed touchless 3D fingerprint recognition
Computation of synthetic 3D fingerprint samples
Touchless 3D reconstruction of ancient fingerprints
Conclusions
Gabor filter is a powerful way to enhance biometric images like fingerprint images in order to extract correct features from these images, Gabor filter used in extracting features directly asin iris images, and sometimes Gabor filter has been used for texture analysis. In fingerprint images The even symmetric Gabor filter is contextual filter or multi-resolution filter will be used to enhance fingerprint imageby filling small gaps (low-pass effect) in the direction of the ridge (black regions) and to increase the discrimination between ridge and valley (black and white regions) in the direction, orthogonal to the ridge, the proposed method in applying Gabor filter on fingerprint images depending on translated fingerprint image into binary image after applying some simple enhancing methods to partially overcome time consuming problem of the Gabor filter.
Fingerprints vary person to person i.e. no two persons can have same fingerprint ridge structures, so they play a major role in unique identification of human beings. Fingerprints of human beings are unique and persistent. Hence, in biometric identification applications, Automatic Fingerprint Identification System (AFIS) is emerging as a popular technology. The whole performance of the system depends on the quality of finger print images. Keeping in mind the above fact, this paper is solely based on fingerprint image enhancement so as to improve the quality of fingerprints, which makes feature (minutiae) extraction reliable.
Cracks on the concrete surface are one of the earliest symptoms of degradation of the structure which isfundamental for the upkeep as properly the non-stop publicity will lead to the severe injury to the environment.Manual inspection is the acclaimed approach for the crack inspection. In the guide inspection, the diagram of thecrack is organized manually, and the conditions of the irregularities are noted. Since the guide strategy absolutelyrelies upon on the specialist’s expertise and experience, it lacks objectivity in the quantitative analysis. So,automated image-based crack detection is proposed as a replacement. The proposed gadget comprises pictureprocessing and facts acquisition methodologies for crack detection and evaluation of surface degradation. Theacquired outcomes exhibit that the deployment of image processing in an nice way is a key step towards theinspection of giant infrastructures
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IJRET-V1I1P2 -A Survey Paper On Single Image and Video Dehazing MethodsISAR Publications
Most of the computer applications use digital images. Digital image processing acts an important
role in the analysis and interpretation of data, which is in the digital form. Images taken in foggy
weather condition often suffer from poor visibility and clarity. After the study of several fast
dehazing methods like Tan’s dehazing technique, Fattal’s dehazing technique and aiming Heat al
dehazing technique, Dark Channel Prior (DCP) intended by He et al is most substantive technique
for dehazing.This survey aims to study about various existing methods such as polarization, dark
channel prior, depth map based method etc. are used for dehazing.
Haze removal for a single remote sensing image based on deformed haze imaging...LogicMindtech Nologies
IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
Implementation of multiple 3D scans for error calculation on object digital r...IJERA Editor
Laser scanning is a widespread methodology of visualizing the natural environment and the manmade structures that exist in it. Laser scanners accomplish to digitalize our reality by making highly accurate measurements. Using these measurements they create a set of points in 3D space which is called point cloud and depicts an entire area or object or parts of them. Triangulation laser scanners use the triangle theories and they mainly are used to visualize handheld objects at a very close range from them. In many cases, users of such devices take for granted the accuracy specifications provided by laser scanner manufacturers and respective software and for many applications this is enough. In this paper we use point clouds, collected by a triangulation laser scanner under a repetition method, of two cubes that are geometrically similar to each other but differ in material. At first, the data of each repetition are being compared to each other to examine the consistency of the scanner under multiple measurements of the same scene. Then, the reconstruction of the objects‟ geometry is achieved and the results are being compared to the data derived by a digital caliper. The errors of calculated dimensions were estimated by the use of error propagation law.
Edge detection of herbal plants is a set of mathematical methods which aim at identifying points in a digital image at which the image brightness changes sharply and has discontinuities. They are defined as the set of curved line segments termed edges. Effective edge detection for microscopic image of herbal plant is proposed through this paper which compares the edge detected images and then performs further segmentation. Comparison between Sobel operator, Prewitt, Canny and Robert cross operators is performed. Our method after efficient edge detection performs Gabor filter and K-means clustering to procure a better image. It is then subjected to further segmentation. Experimental methods in our proposed algorithm show that our method achieves a better edge detection as compared to other edge detector operators. Our proposed algorithm provides the maximum PSNR value of 43.684 amongst the other commercial edge detection operators.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Defect detecting of PCB using Image processing in this it included the basic principal that enhancing the image quality through the image processing technique and this compare with the original image and ideal image and defect detect through the subtraction method
Abstract Edge detection is a fundamental tool used in most image processing applications. We proposed a simple, fast and efficient technique to detect the edge for the identifying, locating sharp discontinuities in an image and boundary of an image. In this paper, we found that proposed method called LookUp Table performs well, which requires least computational time as compared to conventional Edge Detection techniques. And also in this paper we presented a comparative performance of various conventional Edge Detection Techniques. Keywords: Edge detectors, Lookup table.
Introduction to Digital Image Correlation (DIC)Instron
This presentation introduces Digital Image Correlation, the optical technique that compares images of a tested specimen’s surface to generate full-field strain and displacement maps.
Touchless and less-constrained 3D fingerprint recognitionAngelo Genovese
Biometrics
Fingerprint biometrics
Touchless fingerprint biometrics
Proposed touchless 3D fingerprint recognition
Computation of synthetic 3D fingerprint samples
Touchless 3D reconstruction of ancient fingerprints
Conclusions
Torsten Meister
Touchless Biometric System
http://www.security-session.cz
Přednáška: Touchless Fingerprint Recognition
The lesson given by Mr. Torsten Meister (Touchless Biometric System) will cover the topic of fingerprint recognition based on touchless fingerprint acquirement. Closer details of this technology will be explained and practical issues will be discussed.
This presentation describes what could be the good features, and the methods to verify a person from his hand. This uses
"Raul Sanchez-Reillo, C. Sanchez-Avila, A. Gonzalez-Marcos, Biometric identification through hand geometry measurements, IEEE Transactions on PAMI 22 (2000)" as the base.
X-rays were discovered in 1895 by the German physicist Wilhelm Conrad Röntgen,
who earned the Nobel Prize in Physics in 1901. Although their potential applications
in medical imaging diagnosis were clear from the beginning, the implementation of
the first X-ray computed tomography system was made in 1972 by Godfrey Newbold
Hounsfield (Nobel prize winner in 1979 for Physiology and Medicine), who constructed
the prototype of the first medical CT scanner and is considered the father of computed
tomography. CT was introduced into clinical practice into 1971 with a scan of a cystic
frontal lobe tumor on a patient at Atkinson Morley Hospital in Wimbledon (United
Kingdom). After this, CT was immediately welcomed by the medical community and
has often been referred to as the most important invention in radiological diagnosis, since
the discovery of X-rays [1].
The first applications of CT in an industrial context is traced back to the first 1980´s, in the
field of non destructive testing, where small number of slices of the object were visually
inspected. 3D quantitative industrial CT applications appeared in the later 1990s, with
simple volume and distance analysis [2]. Today, thanks to relevant improvements in both
hardware and software, CT has become a powerful and widely used tool among non
destructive techniques, capable of inspecting external and internal structures (without
destroying them) in many industrial applications. Development of more and more stable
X-ray sources and better detectors led to design of more complex CT system, providing
accurate geometrical information with micrometer accuracy. CT is widely used for
geometrical characterization of test objects, material composition determination, density
variation inspection etc. In a relative short time, CT is capable to produce a complete
three-dimensional model and tolerances of the scanned machined parts can be verified.
Because of the growing interest on precision in production engineering and an increasing
demand for quality control and assurance, CT is leading the field of manufacturing
and coordinate metrology. With respect to traditional techniques, CT systems have indisputable advantages: internal and external geometry can be acquired without
destroying the part, with a density of information much higher than common tactile and
optical coordinate measuring. A key parameter for reliability of the measurement process
is the establishment of measuring uncertainty. Since there are many influence parameters
in CT, uncertainty contributors in CT and standards dealing with quantification of CT
have not been completely established yet. The assessment of the uncertainty budget
becomes a challenge for all researchers
Smqt Based Fingerprint Enhancement And Encryption For Border Crossing Securit...theijes
Biometric passport (e-passport) is to prevent the illegitimate entry of traveler into a particular country and border the use of counterfeit documents by more accurate identification of an individual. The electronic passport, as it is sometimes called, represents a bold proposal in the procedure of two new technologies: cryptography authentication protocols and biometrics (face, fingerprints, palm prints and iris).The goal of the adoption of the electronic passport is not only to accelerate processing at border crossings, but also to increase safety measures. Adaptive fingerprint enhancement method is used to enhance the fingerprint image. The term adaptive implies that parameters of the method are automatically adjusted based on the input fingerprint image. The adaptive fingerprint enhancement method comprises five processing blocks. 1) Pre-processing; 2) global analysis; 3) local analysis; and 4) matched filtering; 4) Image segmentation. In the pre-processing and local analysis blocks, a nonlinear dynamic range adjustment method, SMQT is used. These processing blocks yield an improved and new adaptive fingerprint image processing method. . For assuring security cryptography can be used with enhancement technique for encrypting the enhanced image so as to provide additional protection against fake. For this an image encryption approach using stream ciphers based on non linear filter generator along with AES encryption is used here. In this work a novel image encryption scheme using stream cipher algorithm based on nonlinear filter generator is considered. In this work a novel image encryption scheme is proposed based on stream cipher algorithm using pseudorandom generator with filtering function. This algorithm makes it possible to cipher and decipher images by guaranteeing a maximum security. The proposed cryptosystem is based on the use the linear feedback shift register (LFSR) with large secret key filtered by resilient function whose resiliency order, algebraic degree and nonlinearity attain Siegenthaler’s and Sarkar, al.’s bounds. This scheme is simple and highly efficient.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Image processing based girth monitoring and recording system for rubber plant...sipij
Measuring the girth and continuous monitoring of the increase in girth is one of the most important processes in rubber plantations since identification of girth deficiencies would enable planters to take corrective actions to ensure a good yield from the plantation.
This research paper presents an image processing based girth measurement & recording system that can replace existing manual process in an efficient and economical manner.
The system uses a digital image of the tree which uses the current number drawn on the tree to identify the tree number & its width. The image is threshold first & then filtered out using several filtering criterion to identify possible candidates for numbers. Identified blobs are then fed to the Tesseract OCR for number recognition. Threshold image is then filtered again with different criterion to segment out the black strip drawn on the tree which is then used to calculate the width of the tree using calibration parameters. Once the tree number is identified & width is calculated the girth the measured girth of the tree is stored in the data base under the identified tree number.
The results obtained from the system indicated significant improvement in efficiency & economy for main plantations. As future developments we are proposing a standard commercial system for girth measurement using standardized 2D Bar Codes as tree identifiers
Precision measurement technology and application based on machine visionIJRES Journal
Presently, the precision measurement technology based on machine vision has applied to all kinds of fields such as electron, motorcar, weave, glass and metalworking. It can also work effectively in many occasions that many old methods are difficult to check and measure. The levels of production automation and intelligent detection system have been improved greatly. In this paper, the basic principle and application of the machine vision system is introduced firstly, and then the application of small modulus gear precision measurement technology based on machine vision is taken as an example to show the feasibility of this method in precision measurement. The results revealed the advantages of machine vision method that the measurement efficiency is improved and the artificial error is reduced.
Similar to Unconstrained fingerprint recognition fully touchless 3 d system ieee (20)
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Fundamentals of Electric Drives and its applications.pptx
Unconstrained fingerprint recognition fully touchless 3 d system ieee
1. Toward Unconstrained Fingerprint Recognition:
a Fully Touchless 3-D System
Based on Two Views on the Move
By,
Sinisha George
S2 MTech CS
2. OVERVIEW
• Problem Statement
• Introduction
• Related works
• Proposed method
• Experimental Results
• Conclusion
• References
2
3. PROBLEM STATEMENT
• Require contact of the finger with any
acquisition surface
• Require constrained and highly cooperative
acquisition methods.
• Low usability, user acceptance and presence of
distortions, less robust to dust and dirt , hygiene
issues.
3
4. INTRODUCTION
• Fingerprints are one of many forms of biometrics
used to identify individuals and verify their identity.
• fully touchless fingerprint recognition system based
on the computation of three-dimensional models.
• Models from two view image captured during
movement
• less-constrained biometrics aim at using samples
captured
– Contactless, higher distance, Natural light
conditions, On the move
4
11. CONTACTLESS ACQISITION(Cont.)
Examples of images in Dataset B captured with exaggerate finger orientations:
(a) leftward yaw rotation; (b) counter clockwise roll rotation;
(c)downward pitch rotation; (d) rightward yaw rotation;
(e) clockwise roll rotation; (f) upward pitch rotation. 11
12. 2. THREE-DIMENSIONAL FINGERPRINT
RECONSTRUCTION
1) Image pre-processing;
2) Segmentation;
3) Extraction and matching of the reference points;
4) Refinement of the pairs of corresponding points;
5) Three-dimensional surface computation and
image wrapping.
12
13. 2.1 IMAGE PREPROCESSING
• Details of the ridge pattern are Particularly visible in
the green channel of the RGB color Space of the
captured images
13
17. 2.4 REFINEMENT OF THE PAIRS OF
CORRESPONDING POINTS
• To obtain smooth and accurate representation
of the finger surface
• Applying thin plate spline to the set of
corresponding points.
17
18. 2.5 THREE-DIMENSIONAL SURFACE
COMPUTATION AND IMAGE WRAPPING.
• Creates a three-dimensional model MA as the depth
map corresponding to the view of Camera A.
• Triangulation
• Linear interpolation
– Mp, Mz
Fig: dense three-dimensional model with a
superimposed texture image obtained by
the proposed method
18
19. 3. COMPUTATION OF TOUCH-COMPATIBLE
IMAGES
• Enhancement
o background subtraction
o Nonlinear equalization(logarithm)
o Butterworth low-pass filter
• Two dimensional mapping
– Enrolment
oCompensate for rotations
oComputation of NR rotations
19
21. 4.TEMPLATE COMPUTATION
• Neurotechnology veriFinger
– Commercial feature extractor
– Compute template T
– Properly identifies the coordinates
– Designed for touch-based images.
Fig: a binary image and minutia coordinates obtained using the
proposed system and the software Verifinger
21
22. 5. MATCHING
• In the verification phase computes a single minutiae
template Tf .
• Matching score represents the similarity of the fresh
template with a multi-template.
• Te score is computed as,
• Match(.) – matching function ,performed using
nuerotechnology verifinger software
22
23. EXPERIMENTAL RESULTS
a) Data sets description
b) Accuracy of 3D reconstruction
c) Recognition performance
d) User acceptability
e) Interoperability
23
25. A) DATA SETS DESCRIPTION
Touchless - one session.
2368 samples.
10 fingers, 30 volunteers, 8 acquisitions per finger.
Touchless - two sessions
2368 samples
10 fingers, 15 volunteers, 16 acquisitions per finger.
- 8acquisitions one year, 8 acquisition subsequent year .
Touchless - misplaced fingers
1200 samples
2 fingers (index), 30 volunteers, 20 acquisitions per finger
Touch-based
One session
Two sessions
25
26. B) ACCURACY OF 3D RECONSTRUCTION
• point clouds describing the three-dimensional shape of the finger and
the corresponding dense three-dimensional models with superimposed
texture images
• Average error 0.03mm 26
27. C) RECOGNITION PERFORMANCE
• ROC curves representing the accuracy of the
proposed touchless system under standard
operating conditions (Dataset).
•The results represent different numbers of
three-dimensional rotations NR performed
during the enrolment step.
• Every test included 5, 605, 056 identity
comparisons.
•The configuration that yielded the best
accuracy was NR = 9, with EER = 0.03%.
Table: Accuracy of the proposed biometric
system using samples acquired under
standard operating conditions (dataset A).27
28. D) USER ACCEPTABILITY
• Survey performed using questionnaires.
• Results show preference towards contactless
recognition.
28
29. G) OVERVIEW OF THE DIFFERENT
TECHNOLOGIES
29
Aspect Touch -based Touchless
accuracy EER=0.06% EER=0.03%
Usability medium High
User acceptance Medium High
Privacy Data protection techniques Data protection techniques
Speed Template extraction +
matching
3D reconstruction +
template extraction +
matching
Cost 10$ to 5000$ 10$ to 5000$
30. CONCLUSIONS
– Systems based on two-dimensional samples can be used
in low-cost applications, but the samples present
distortions.
– Systems based on three-dimensional samples can obtain
comparable accuracy with respect to traditional systems
– Touchless systems are characterized by higher usability,
user acceptance, less constrained.
– Robust to uncontrolled environmental illumination.
– Tolerate wide range of finger orientations.
30
31. REFERENCES
[[1] D. Maltoni, D. Maio, A. K. Jain, and S. Prabhakar, Handbook of
Fingerprint Recognition, 2nd ed. Springer Publishing Company,
Incorporated, 2009.
[2] R. Donida Labati and F. Scotti, “Fingerprint,” in Encyclopedia of
Cryptography and Security (2nd ed.), H. van Tilborg and S. Jajodia,
Eds. Springer, 2011, pp. 460 – 465.
[3] R. Donida Labati, V. Piuri, and F. Scotti, Touchless Fingerprint
Biometrics, ser. Series in Security, Privacy and Trust. CRC Press,
2015.
[4] G. Parziale, “Touchless fingerprinting technology,” in Advances in
Biometrics, N. K. Ratha and V. Govindaraju, Eds. Springer London,
2008, pp. 25–48.
31
1. Two diamenional systems :::::
Doesn’t compnaste for rotations
Presence of distortions
Less robust to dust and dirt
Less user acceptance
hYgine issues
Fingerprint recognition or fingerprintauthentication refers to the automated method of verifying a match between two humanfingerprints. Fingerprints are one of many forms of biometrics used to identify individuals and verify their identity.
Biometrics refers to metrics related to human characteristics. Biometrics authentication (or realistic authentication) [note 1] is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillanc
Oon movement-so less user coorpration is needed
System is less constrained tan 3d systems
Fingerprint recognition or fingerprintauthentication refers to the automated method of verifying a match between two humanfingerprints. Fingerprints are one of many forms of biometrics used to identify individuals and verify their identity.
Biometrics refers to metrics related to human characteristics. Biometrics authentication (or realistic authentication) [note 1] is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillanc
This also Touc base system but uses multiple cameras therefor 3d 5 cameras and set lED ligts
The proposed method computes a three-dimensional model of the finger with a superimposed texture representing the ridge pattern. The method uses a correlation-based technique that is more computationally efficient and accurate
Fig. 5. Example of a fingerprint image before and after the preprocessing step: (a) input image I; (b) ridge pattern image P, computed as the green channel
of I.
Because a green light is used to illuminate the finger. Consequently, we consider the channel G of the captured image I (Fig. 5 a) as the matrix representing the ridge pattern P
2 task
rough estimation of te finger sape
Finger nail removal
compensation of yaw angle
search of finger rermination
skin region segmentation
Fig. 9 presents examples of point clouds obtained with
and without the refinement step.
f is the focal length of the two cameras,
T is the baseline distance between the two cameras,
xA and xB are the two matched points.
Fig. 16. Examples of point clouds describing the three-dimensional shape of the finger and the corresponding dense three-dimensional models with
superimposed texture images: (a, c, e) point clouds; (b, d, f) dense three-dimensional models. The experiments demonstrated that the proposed method can
obtain accurate three-dimensional reconstructions for all 10 fingers.
The EER is the best single description of the Error Rate of an algorithm and as lower be the EER the lower error rate of the algorithm- EQUAL ERROR RATE
False match rate (FMR, also called FAR = False Accept Rate): the probability that the system incorrectly matches the input pattern to a non-matching template in the database
It measures the percent of invalid inputs that are incorrectly accepted