MOMENT AND DENSITY BASED HADWRITTEN MARATHI NUMERAL RECOGNITION
Journal Title: Indian Journal of Computer Science and Engineering - Year 2012, Vol 3, Issue 5
Abstract
In this paper, we present an OCR for handwritten Marathi Numerals recognition using two sets of features, namely, density and central moments. Central moments of order 3 and 4 are computed globally for the numeral image while density features are computed by dividing the numeral image into different zones. The combined features are fed to the classifiers namely, minimum distance, k-nearest neighbor (k- NN) and Support Vector Machines (SVM) to classify the unknown numeral patterns. The proposed method provided encouraging results.
Authors and Affiliations
S. M. Mali
Keywords
Related Articles
- EP ID EP140623
- DOI -
- Views 116
- Downloads 0
IMAGE COMPRESSION USING DCTWT & N-LEVEL-HYBRID TECHNIQUE
As per the current position, the collective growing of knowledge and the arrival into the numerical age, we have to grip a huge quantity of info each period which frequently grants problems. So, the numeral info must be...
A COMPATIVE STUDY OF SILENCE AND NON SILENCE REGIONS OF SPEECH SIGNAL USING PROSODY FEATURES FOR EMOTION RECOGNITION
The objective of this work is the comparative study of the speech signal between the silence and non- silence regions of the speech signal. In this work our main goal is to observe the pitch contour, energy and duration...
Evaluation of the Signal to Noise in Different Radiographic Methods and in Standard Digitizer
Radiography is one of the methods to find volumetric defects in Non Destructive Technique (NDT). Radiographic film is digitized for the further assessment of the defects. The successful use of radiography depends on the...
A Hybrid Data Mining Model to Improve Customer Response Modeling in Direct Marketing
Direct marketing is concerned with which customers are more likely to respond to a product offering or promotion. A response model predicts if a customer is going to respond to a product offering or not. Typically histor...
WEB SERVICE CLASSIFICATION WITH MULTILAYER PERCEPTRON
Web services are made of software components for expressing the application information, communicating messages and for interacting with open XML and Internet technologies. Web services are software applications accessib...