Maxtech Wishes You Happy and Prosperous New Year
Technology & Science / December 31, 2017

“Before the calendar turns a new leaf over, before the social networking sites get flooded with messages, before the mobile networks get congested, let me take a quiet moment out to wish you a wonderful, happy, healthy and prosperous New Year!” हजारों दुआओं बेशुमार वफाओं अनगिनत मोहबतों बेपनाह चाहतों और खुशिओं के खजाने के साथ आपको एडवांस में। नया साल मुबारक हो।। Team Maxtech Solutions  

Iris Recognition System

The pressures on today’s system administrators to have secure systems are ever increasing. One area where security can be improved is in authentication. Iris recognition, a biometric, provides one of the most secure methods of authentication and identification thanks to the unique characteristics of the iris. The iris recognition is now becoming a common authentication method in handheld consumer electronics devices, such as cellphones and tablets. The iris being a biometric parameter is a way better than password protection because of its uniqueness for each individual. General Overview of Iris Recognition System In today’s information technology world, security for systems is becoming more and more important. The number of systems that have been compromised is ever increasing and authentication plays a major role as a first line of defence against intruders. The three main types of authentication are something you know (such as a password), something you have (such as a card or token), and something you are (biometric). Passwords are notorious for being weak and easily crackable due to human nature and our tendency to make passwords easy to remember or writing them down somewhere easily accessible. Cards and tokens can be presented by anyone and although the token…

Introduction of Web Services

Web services can be published and can be accessed with internet and business intranets for developing scattered applications. It can be defined as the model for software system and designed to maintain interoperable communication. The capacity to select and compose the inter-organizational and mixed services at runtime on the web is the important issue to be considered in web service applications. With the help of a single web service, we cannot satisfy both the functional and non-functional requirements of the user, so we need to mix a set of composite already existing web services to satisfy the user needs. Definition of Web Services “A web service is a software system that supports interoperable machine to machine interaction over the network. It can be any kind of service provided on the web that can exchange data between applications. In simple terms, it is any program that is callable by another program across the web using standard protocols”. OR, “A Web service is a software system identified by a URI, whose public interfaces and bindings are defined and described using XML. Its definition can be discovered by other software systems. These systems may then interact with the Web service in a manner prescribed…

Signature Recognition and Applications

Signature is a special case of handwriting which includes special characters and flourishes. Many signatures can be unreadable. They are a kind of artistic handwriting objects. However, a signature can be handled as an image, and hence, it can be recognized using computer vision and artificial neural network techniques. Handwritten signatures are widely utilized as a form of personal recognition. However, they have the unfortunate shortcoming of being easily abused by those who would fake the identification or intent of an individual which might be very harmful. Therefore, the need for an automatic signature recognition system is crucial. Signature Recognition Overview The basic goal of the handwritten signatures is to provide an accurate method in order to verify a person’s identity based on the way in which he/she signs his/her name. Hence for this reason, the handwritten signatures are widely accepted, socially and legally throughout the world. There are basically two types of systems – online and offline. The hand-written signature verification uses the features conveyed by every signatory such that the features considered have a unique understanding and the way of signing presents the behavioral biostatistics. Some researchers considered common issues with the extraction of identification data from different…

Understanding of Distributed System

Networks of computers are everywhere. The Internet is one, as are the many networks of which it is composed. Mobile phone networks, corporate networks, factory networks, campus networks, home networks, in-car networks – all of these, both separately and in combination, share the essential characteristics that make them relevant subjects for study under the heading distributed systems. Distributed computing deals with all forms of computing, information access, and information exchange across multiple processing platforms connected by computer networks. Overview of Distributed System Over the past two decades, advancements in microelectronic technology have resulted in the availability of fast, inexpensive processors, and advancements in communication technology have resulted in the availability of cost effective and highly efficient computer networks. The net result of the advancements in these two technologies is that the price performance ratio has now changed to favor the use of interconnected multiple processors in place of a single, high-speed processor. Distributed systems form a rapidly changing field of computer science. A distributed computer system consists of multiple software components that are on multiple computers, but run as a single system. The computers that are in a distributed system can be physically close together and connected by a local network,…

Importance of Dimensionality Reduction in Data mining

The recent explosion of data set size, in number of records as well as of attributes, has triggered the development of a number of big data platforms as well as parallel data analytics algorithms. At the same time though, it has pushed for the usage of data dimensionality reduction procedures. Dealing with a lot of dimensions can be painful for machine learning algorithms. High dimensionality will increase the computational complexity, increase the risk of over fitting (as your algorithm has more degrees of freedom) and the sparsity of the data will grow. Hence, dimensionality reduction will project the data in a space with fewer dimensions to limit these phenomena. What is Dimensionality Reduction? The problem of unwanted increase in dimension is closely related to fixation of measuring / recording data at a far granular level then it was done in past. This is no way suggesting that this is a recent problem. It has started gaining more importance lately due to surge in data. In machine learning classification problems, there are often too many factors on the basis of which the final classification is done. These factors are basically variables called features. The higher the number of features, the harder…

Understanding of Digital Images
Image Processing , Technology & Science / December 28, 2017

Digital Images are the most common and convenient means of conveying or transmitting information. An image is worth a thousand words. Pictures concisely convey information about positions, sizes and inter-relationships between objects. They portray spatial information that we can recognize as objects. Human beings are good at deriving information from such images, because of our innate visual and mental abilities. About 75% of the information received by human is in pictorial form. Digital Image Overview Digital images are made of picture elements called pixels.  Typically, pixels are organized in an ordered rectangular array.  The size of an image is determined by the dimensions of this pixel array.  The image width is the number of columns, and the image height is the number of rows in the array.  Thus the pixel array is a matrix of M columns x N rows.  To refer to a specific pixel within the image matrix, we define its coordinate at x and y.  The coordinate system of image matrices defines x as increasing from left to right and y as increasing from top to bottom.  Compared to normal mathematic convention, the origin is in the top left corner and the y coordinate is flipped.  Why is…

Rule based System

Knowledge is practical or theoretical understanding of a subject or domain. Thus who possess knowledge are called experts. The human mental process is internal, it is too complex to be represented as an algorithm. However, most experts are capable of expressing their knowledge in the form of rules for problem solving. Rules are the popular paradigm for representing knowledge. A rule based expert system is one whose knowledge base contains the domain knowledge coded in the form of rules. Overview of Rule Based Systems Instead of representing knowledge in a relatively declarative, static way (as a bunch of things that are true), rule based system represent knowledge in terms of a bunch of rules that tell you what you should do or what you could conclude in different situations. A rule-based system consists of a bunch of IF-THEN rules, a bunch of facts, and some interpreter controlling the application of the rules, given the facts Rule-based systems (also known as production systems or expert systems) are the simplest form of artificial intelligence. A rule based system uses rules as the knowledge representation for knowledge coded into the system. The definitions of rule-based system depend almost entirely on expert systems, which…

Introduction of Data Compression

Data Compression is used just about everywhere. Data compression involves the development of a compact representation of information. Most representations of information contain large amounts of redundancy. Redundancy can exist in various forms. Internet users who download or upload files from/to the web, or use email to send or receive attachments will most likely have encountered files in compressed format. Data Compression Overview With the extending use of computer in various disciplines, number of data processing applications is also increasing which requires processing and storage of large volumes of data. Data compression is primarily a branch of information theory which deals with techniques related to minimizing the amount of data to be transmitted and stored. Data compression is often referred to as coding, where coding is a very general term encompassing any special representation of data which satisfies a given need. Information theory is defined to be the study of efficient coding and its consequences, in the form of speed. What is Data Compression ? Today, with the growing demands of information storage and data transfer, data compression is becoming increasingly important. Compression is the process of encoding data more efficiently to achieve a reduction in file size. One type of compression…

What is Pattern Recognition

One of the most important capabilities of mankind is learning by experience, by our endeavors, by our faults. By the time we attain an age of five most of us are able to recognize digits, characters; whether it is big or small, uppercase or lowercase, rotated, tilted. We will be able to recognize, even if the character is on a mutilated paper, partially occluded or even on the clustered background. Looking at the history of the human search for knowledge, it is clear that humans are fascinated with recognizing patterns in nature, understand it, and attempt to relate patterns into a set of rules. Informally, a pattern is defined by the common denominator among the multiple instances of an entity. Therefore, Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. Pattern recognition is concerned with the design and development of systems that recognize patterns in data. The purpose of a pattern recognition program is to analyze a scene in the real world and to arrive at a description of the scene which is useful for the accomplishment of some task. Introduction of Pattern Recognition Pattern Recognition is a mature but exciting and fast developing field,…

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