Recognition of Isolated Handwritten Kannada Numerals based on Decision Fusion Approach
Journal Title: International Journal on Computer Science and Engineering - Year 2013, Vol 5, Issue 6
Abstract
combining classifiers appears as a natural step forward when a critical mass of knowledge of single classifier models has been accumulated. Although there are many unanswered questions about matching classifiers to real-life problems, combining classifiers is rapidly growing and enjoying a lot of attention from pattern recognition and machine learning communities. For any pattern classification task, an increase in data size, number of classes, dimension of the feature space and interclass separability affect the performance of any classifier. It is essential to know the effect of the training dataset size on the recognition performance of a feature extraction method and classifier. In this paper, an attempt is made to measure the performance of the classifier by testing the classifier with two different datasets of different sizes. In practical classification applications, if the number of classes and multiple feature sets for pattern samples are given, a desirable recognition performance can be achieved by data fusion. A framework for feature selection and decision fusion has been proposed in this paper to increase the performance of classification. From the experimental results it is seen that there is an increase of 4.55% in the recognition accuracy.
Authors and Affiliations
Mamatha. H. R , Sucharitha Srirangaprasad , Srikantamurthy K
Keywords
Related Articles
- EP ID EP87509
- DOI -
- Views 153
- Downloads 0
CCMP-AES Model with DSR routing protocol to secure Link layer and Network layer in Mobile Adhoc Networks
Mobile Adhoc network is a special kind of wireless networks. It is a collection of mobile nodes without having aid of stablished infrastructure. Mobile Adhoc network are vulnerable to attacks compared to wired networks...
Software efforts estimation using Use Case Point approach by increasing Technical Complexity and Experience Factors
An IT industry wants a simple and accurate method of efforts estimation. Estimation of efforts before starting of work is a prediction and prediction always not accurate. Intermediate COCOMO considered 17 factor that aff...
Handwritten Tamil Character Recognition and Conversion using Neural Network
Hand written Tamil Character recognition refers to the process of conversion of handwritten Tamil character into Unicode Tamil character. The scanned image is segmented into paragraphs using spatial space detection techn...
REVIEW of SOME MINIMUM-PROCESS SYNCHRONOUS CHECKPOINTING SCHEMES for MOBILE DISTRIBUTED SYSTEMS
The term Distributed Systems is used to describe a system with the following characteristics: i) it consists of several computers that do not share memory or a clock, ii) the computers ommunicate with each other by exch...
Compact Dual Polarization Lidar System description and data processing
This paper describes the constructional features of a compact dual polarization lidar (CDPL) system developed for remote sensing the suspended particulate matter and clouds in the atmosphere. The new lidar system employs...