LiveZilla Live Chat Software
Warning STRICT ERROR REPORTING IS ON
Performance Optimization and Comparative Analysis of Neural Networks for Handwritten Devanagari Character Recognition

Performance Optimization and Comparative Analysis of Neural Networks for Handwritten Devanagari Character Recognition

Starting at: Rs.5,500.00

5500 reward points

 Performance Optimization and Comparative Analysis of Neural Networks for Handwritten Devanagari Character Recognition

Devanagari script has character set with rich structural features that makes the recognition of unconstrained handwritten Devanagari characters difficult However, these features can be used to divide the characters into different categories. This paper presents few techniques for optimizing the recognition accuracy at pre-classification stage, feature extraction stage and recognitio n stage. Initially, the pre-classification of the characters is done into different classes using various structural features. Then features are extracted using optimized feature extraction tec hniques. Finally, the recognition is done using neural network. In this paper, different neural networks are implemented and their performances are analyzed.


 


ClickMyProject Specifications
 
 
Including Packages
 
Specialization
 
  * Supporting Softwares   * 24/7 Support
  * Complete Source Code   * Ticketing System
  * Complete Documentation   * Voice Conference
  * Complete Presentation Slides   * Video On Demand *
  * Flow Diagram   * Remote Connectivity *
  * Database File   * Code Customization **
  * Screenshots   * Document Customization **
  * Execution Procedure   * Live Chat Support
  * Readme File   * Toll Free Support *
  * Addons    
  * Video Tutorials    
       
 

*- PremiumSupport Service (Based on Service Hours) ** - Premium Development Service (Based on Requirements)


Add to Cart:

  • Model: PROJ7574
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

Please Choose:

Downloadable







This product was added to our catalog on Monday 31 July, 2017.

  0