AN IMPROVED EDGE DETECTION METHOD USING HYBRID FUZZY COGNITIVE MAP FOR BIOMETRIC IMAGES
CHAPTER 1
INTRODUCTION
The growing possibilities of modern communication need the special mean of security on computer network. In the computer world, it is very important to keep secret information secret, private information private and protect the copyrights of data. To accomplish this task, new methods based on the principle of Image processing are being developed and used. Image processing is any form of signal processing for which the input is an image, such as photographs or frames of video, the output of image processing can be either an image or a set of characteristics related to the image. Now, an image is an array of numbers that represent light intensities at various points (pixels).These pixels make up the image raster data [N. F. Johnson, S. Jajodia, 1998]. In computer vision, image processing can be done through digital images. A digital image is
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Since, the field image processing is difficult to pre-process the data even though it has been done successfully, due to the sensitivity in noise and inaccuracy, computational complexity which makes the task hard. To overcome this situation, frequent updation in is needed in the algorithms.
PROBLEM SPECIFICATION
The goal of edge detection is to convert a 2D image into a set of curves. The relevant features are expected to be the boundaries of objects that tend to produce sudden changes in the image intensity. They can show where shadows fall in an image or any other distinct change in the intensity of an image. The quality of edge detection is highly dependent on lighting conditions, the presence of objects of similar intensities, density of edges in the scene. The following criteria are considered for this
Edge detection is widely used for detecting discontinuities in an image. Feature 7 is calculated in following way. The input face image is first converted
3.1 Hardware and Software Requirements Windows MATLAB V.13 Windows7 (R2013a) Processor Dual core, core2duo, Intel I3 RAM 2GB RAM DISK Space Disk space varies depending on size of partition and installation of online help files. The MathWorks Installer will inform you of the hard disk space requirement for your particular partition Graphics adapter 8-bit graphics adapter and display (for 256 simultaneous colors CD-ROM drive for installation from CD. Table 3.1: Minimum Requirements Windows Processor RAM DISK Space Graphics adapter MATLAB Intel I3 2GB 1 GB for A 32-bit or 64-bit V.13 MATLAB only, OpenGL capable (R2013a) 5 GB for a
In our algorithm, we have already taken a good quality of image. 3) Binarize To binarize the image the ridges are denotted by black and furrow are denotted by the white.
After, the color space transformation we are going to extracts the texture vector from that image using sparse texture model. The texture vectors are represented as a set of distributions which is used to cluster the texture data using K-means clustering algorithm. Finding the number of clusters which consists set of texture distributions used to calculate TD metric. After, calculating the TD metric, the image is over segmented using SRM algorithm, which results the image being divided into large number of regions. Next, each region is independently classified as representing normal skin or lesion based on the textural contents of that region.
A conventional artwork and drawing can be converted into graphic by scanning into digital form. Graphic can be categorized into two types, Bitmap Graphic and Vector Graphic. Bitmap graphic is made up of many dots arranged in matrix and specific order while Vector graphic is stored as a mathematical formula. Thus, Bitmap graphic does not require special software to read because no processing is require before displaying it. However, due to this reason, it occupies more space compared to Vector graphic and take longer time to transfer over network.
Reading assignment number three is important because of the rapid growth in technology. The reading assignment touches on the subject of using visual imagery and learning how to properly analyze what we have seen. Analyzed properly a picture can tell the viewer many things. Visual imagery is becoming a more progressive.
The authentication of Biometrics (i.e. the real authentication) which is used for identification and controlling the access which can be applied in the computer science. It is can be used in groups to identify the individuals under the surveillance. Biometric identifiers are used to labels the characteristics which can be measurable, the distinctive, and to describe the individuals. Biometric identifiers are being often categorized as behavioral versus physiological characteristics. Physiological are related to define the characteristics and the structure of the body.
Biometric face recognition technology has received significant attention in the past several years to use human face as a key to security. Both law enforcement and non-law enforcement are its application. Face recognition system comprises of two Categories: verification and identification. Face Verification is Done in 1:1 match ratio. It is utilized to looks at a face pictures against a Template face pictures, whose identity being claimed.
The past of biometrics includes the identification of people by distinctive body features, scars or a grouping of other physiological criteria, such like height, eye color and complexion. The present features are face recognition, fingerprints, handwriting, hand geometry, iris, vein, voice and retinal scan. Biometric technique is now becoming the foundation of a wide array of highly secure identification and personal verification. As the level of security breach and transaction scam increases, the need for well secure identification and personal verification technologies is becoming apparent. Recent world events had lead to an increase interest in security that will impel biometrics into majority use.
Introduction Visual and performing arts tend to act as separate entities within the field of education; considerably isolated from the majority of academia, these sectors are often considered to be secondary or elective options after completing primary education. The arts are an essential part of a well-rounded education, however, when an institute begins a budgeting process, the arts are rarely considered a top priority. For example, during periods of recession many public schools within the United Stated were forced to cut visual, performing and musical arts programs, despite studies that proved the exposure to the arts to be beneficial for students both academically and in extracurricular activities. Learning in an art-infused environment
Abstract— In recent years, video surveillance systems become more important to enhance the security and safety of people. These systems can use in various fields such as smart home, office, bank security, monitoring the traffic and in public like shopping malls, railway stations, airports and so on. By using this system, it offers realtime display of the monitoring scene and video playback. Besides that, more comprehensive and specific monitoring with no limit of the line-of-sight can be achieved. In this paper, a study of video surveillance system which focusing on using wireless sensor network has been done.
When pictures are taken it’s a moment being captured; a moment that can be either sentimental or influential. Photos have a substantial impact on the things people see or do. It can connect people throughout the world, creating friendships and pathways. Photography has the power to inspire many people and could lead to a change for the better. It’s also a visual learning tool that helps non-verbal people communicate.
Task 2 2B Digital technology ¬– a health threat? We live in a rapidly changing, highly technological world, where the present day digital technology affects several parts of our lives. At work, people use digital technology to communicate, gather information and solve problems relevant to their place of work. A growing number of people also use digital technology at home, to keep in touch with friends and family, check bank balances, play interactive games, participate in online forums and interact with others on social media websites and mobile apps, such as Facebook, Twitter and Instagram.
In second language learning, using visual aids is a necessity teaching strategy in both English as Second Language (ESL) classroom and English as Foreign Language (EFL) classroom (Allen, Kate & Marquez, 2011). They believed that using visual aids in the process of teaching a foreign language can strengthen what learners have learned and increase their interest. In their article, they proposed the positive impact of using visuals and they concluded that teachers should become aware of the strategies in which they can use visual aids and use them purposefully in the classroom to enhance students’ learning. Visual aids can be defined as using objects, drawings, charts, photographs, videos, multimedia presentation, etc.
Digital Media is any media that is enclosed in a machine and is a readable format. Anybody can create digital media, it can be viewed, shared changed and preserved by anyone on computers. Examples of digital media include; mobile phones, compact discs, digital video, digital television, e-book, internet, minidisc, video games, the World Wide Web, e-Commerce and many interactive media. (http://simple.wikipedia.org/wiki/Digital_media) Digital media is often contrasted with print media.