Segmentation of Telugu Touching Conjunct Consonants Using Overlapping Bounding Boxes
Journal Title: International Journal on Computer Science and Engineering - Year 2013, Vol 5, Issue 6
Abstract
Telugu is an ancient historic language. It is spoken by about 84.6 million people of Andhra Pradesh. The script has circular orthography with few horizontal and slant strokes. Huge literature exists for this language in printed form which needs to be preserved by scanning and converting it into editable form. Segmentation of touching characters is a major issue in any OCR system. Segmenting the words into individual glyphs by Connected Component Analysis yields poor results due to touching characters. Touching conjunct consonants is the major component which needs to be properly addressed for improving the accuracy of an OCR system. In this paper an overlapping bounding box approach is presented for segmenting the conjunct consonants along with an algorithm for identifying the correct touching location. An accuracy rate of 91.27% is achieved.
Authors and Affiliations
J. Bharathi , Dr. P. Chandrasekar Reddy
Keywords
Related Articles
- EP ID EP156687
- DOI -
- Views 145
- Downloads 0
Sampling based Association Rules Mining- A Recent Overview
Abstract Association rule discovery from large databases is one of the tedious tasks in datamining.The process of frequent itemset mining, the first step in the mining of association rules, is a computational and IO in...
Service Based Architecture for Manufacturing Sector
SOA has been widely and quickly adopted in different rganizations during recent years. SOA enables to solve integration complexity problem and facilitates broadscale interoperability and unlimited collaboration across t...
Capacity Estimation of Multi-Service Cellular Network Dimensioning and Planification Network
Planning and dimensioning process of a multi-service network WCDMA should consider the whole parameters characterising the radio cell. Among these, we are interested in the required total BTS power and maximum capacity s...
An Algorithm for Finding Frequent Itemset based on Lattice Approach for Lower Cardinality Dense and Sparse Dataset
Whenever mining association rules work for large data sets frequently itemset always play an important role and enhance the performance. Apriori algorithm is widely used for mining association rule which uses frequent it...
Location Management Techniques to Improve QoS in Mobile Networks Using Intelligent Agent
Location Management (LM) is one of the major issues of mobile networks that should be taken into account for providing Quality of Service (QoS) and to meet the subscribers demand (satisfaction). Location management techn...