A Novel Approach To Topological Skeletonization Of English Alphabets And Characters
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2012, Vol 2, Issue 5
Abstract
In this paper we put forward a modified approach towards skeletonization of English alphabets and characters. This algorithm has been designed to find the skeleton of all the typeface of Modern English as present in the Microsoft database. The algorithm has been kept simple and optimized for efficient skeletonization. Finally, the performance of the algorithm after testing has been aptly demonstrated
Authors and Affiliations
Chinmay Chinara
Keywords
Related Articles
- EP ID EP156682
- DOI -
- Views 104
- Downloads 0
Imaging of Intracranial Space Occupying Lesions: A Prospective Study in A Tertiary Care Centre in Northern India
Introduction: The high morbidity & mortality associated with ICSOLs necessitates their early diagnosis so as to plan the required intervention. Intracranial Space occupying lesions (ICSOL) can be neoplastic,inf...
Brain Bridge: A Comparative Study between Database Querying and Human Memory Querying
The human memory is always been subject to many innovations and research since a very long time. As far as our knowledge exceeds, it is the fastest information retrieval system present. Further, the database &nbs...
Cloud Computing: Overview & Utility
Abstract: Cloud computing enables the process of storing documents, files photos online instead of using homecomputer, or webmail or a social networking site. If in an organization, it is desired to use an online i...
Ab-Initio Protein Tertiary Structure Prediction Using Genetic Algorithm
Abstract : Proteins are vital components of all living cells and play a critical role in almost all biological processes. Protein structure identification is a significant challenging problem in computational biology. Th...
A Parameter free Clustering of Density Based Algortihm
Clustering is a kind of unsupervised learning process in data mining and pattern recognition, most of the clustering algorithms are sensitive to their input parameters. So it is necessary to evaluate results of the clust...