Name
Title | ||
|---|---|---|
A New Chain-code Quantization Approach Enabling High Performance Handwriting Recognition based on Multi-Classifier Schemes |
Abstract | ||
|---|---|---|
In this paper initially we propose a novel approach toclassify handwritten characters based on a directional decompositionof the corresponding chain-code representation.This is alternative to previous transformations of thechain-codes proposed by the authors, namely the orderedand random decomposition of the bit-planes resulting fromthe binary representation of the chain-codes. Subsequentlywe utilize the power of the recently developed multiple classifierschemes using sntuple classifiers to integrate the complimentaryinformation encapsulated in all three transformationsinto a more powerful and robust character recognitionsystem. The results obtained through a series ofcross-validation experiments show that the proposed fusionscheme not only outperforms its constituent parts and anumber of other successful classifiers, but also enables significantsavings in memory requirements compared to theoriginal sntuple-based recognition system. |
Year | Venue | Keywords |
|---|---|---|
2003 | ICDAR-1 | multiple classifierschemes,proposed fusionscheme,New Chain-code Quantization Approach,fromthe binary representation,novel approach toclassify,directional decompositionof,constituent part,Enabling High Performance Handwriting,handwritten character,memory requirement,corresponding chain-code representation,orderedand random decomposition,Multi-Classifier Schemes |
DocType | ISSN | ISBN |
Conference | 1520-5363 | 0-7695-1960-1 |
Citations | PageRank | References |
8 | 0.56 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Hoque | 1 | 11 | 1.67 |
| K. Sirlantzis | 2 | 36 | 3.39 |
| M. C. Fairhurst | 3 | 185 | 29.50 |