Text books untuk mata kuliah pemrograman web

.HTML.And.Web.Design.Tips.And.Techniques.Jan.2002.ISBN.0072228253.pd

Adaptive Algorithms for Automated Processing of Document Images

Large scale document digitization projects continue to motivate interesting document understanding technologies such as script and language identification, page classification, segmentation and enhancement. Typically, however, solutions are still limited to narrow domains or regular formats such as books, forms, articles or letters and operate best on clean documents scanned in a controlled environment. More general collections of heterogeneous documents challenge the basic assumptions of state-of-the-art technology regarding quality, script, content and layout. Our work explores the use of adaptive algorithms for the automated analysis of noisy and complex document collections. We first propose, implement and evaluate an adaptive clutter detection and removal technique for complex binary documents. Our distance transform based technique aims to remove irregular and independent unwanted foreground content while leaving text content untouched. The novelty of this approach is in its determination of best approximation to clutter-content boundary with text like structures. Second, we describe a page segmentation technique called Voronoi++ for complex layouts which builds upon the state-of-the-art method proposed by Kise [Kise1999]. Our approach does not assume structured text zones and is designed to handle multi-lingual text in both handwritten and printed form. Voronoi++ is a dynamically adaptive and contextually aware approach that considers components' separation features combined with Docstrum [O'Gorman1993] based angular and neighborhood features to form provisional zone hypotheses. These provisional zones are then verified based on the context built from local separation and high-level content features. Finally, our research proposes a generic model to segment and to recognize characters for any complex syllabic or non-syllabic script, using font-models. This concept is based on the fact that font files contain all the information necessary to render text and thus a model for how to decompose them. Instead of script-specific routines, this work is a step towards a generic character and recognition scheme for both Latin and non-Latin scripts

Analysis of deployment techniques for webbased applications in SMEs

The Internet is no longer just a source for accessing information; it has become a valuable medium for social networking and software services. Web-browsers can now access entire software systems available online to provide the user with a range of services. The concept of software as a service(SAAS) was born out of this. The number of development techniques and frameworks for such web-applications has grown rapidly and much research and development has been carried out on advancing the capability of web scripting languages and web browsers. However a key part of the life-cycle of web-applications that has not received adequate attention is deployment. The deployment techniques chosen to deploy a web application can have a serious affect on the cost of maintenance and the quality of service for the end user. A SAAS modelled web application attempts to emulate a desktop software package experience. If a deployment process affects the availability and quality of service of a web-application then the core concept of this model is broken. This dissertation identifies approaches to designing a deployment process and the aspects that influence the quality of a deployment technique. A survey was circulated to a number of Irish small to medium sized enterprises (SME) that develop web-based software. The survey shows an overview of multiple deployment processes used by these SMEs. Using this information, along with a review of the available literature and a detailed case study of a typical SME deploying SAAS based products, the dissertation provides a critical analysis and evaluation of the current deployment techniques being used

A Framework for Devanagari Script-based Captcha

Human Interactive Proofs (HIPs) are automatic reverse Turing tests designed to distinguish between various groups of users. Completely Automatic Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a HIP system that distinguish between humans and malicious computer programs. Many CAPTCHAs have been proposed in the literature that text-graphical based, audio-based, puzzle-based and mathematical questions-based. The design and implementation of CAPTCHAs fall in the realm of Artificial Intelligence. We aim to utilize CAPTCHAs as a tool to improve the security of Internet based applications. In this paper we present a framework for a text-based CAPTCHA based on Devanagari script which can exploit the difference in the reading proficiency between humans and computer programs. Our selection of Devanagari script-based CAPTCHA is based on the fact that it is used by a large number of Indian languages including Hindi which is the third most spoken language. There is potential for an exponential rise in the applications that are likely to be developed in that script thereby making it easy to secure Indian language based applications.Comment: 10 pages, 8 Figures, CCSEA 2011 - First International Conference, Chennai, July 15-17, 201