Name
Abstract | ||
|---|---|---|
An approach for estimating a priori probabilities of numerals is proposed. It is based on a special approximation of a training set of histograms. An application of the approach to recognition of check amounts is considered. Experimental results with real bank check databases are presented. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1016/S0167-8655(96)00122-5 | Pattern Recognition Letters |
Keywords | Field | DocType |
numeral recognition,bayesian classifier,prior probability,bank check recognition,quality of classification | Training set,Histogram,Naive Bayes classifier,Cashier's check,Pattern recognition,Computer science,A priori and a posteriori,Speech recognition,Artificial intelligence,Prior probability,Numeral system | Journal |
Volume | Issue | ISSN |
18 | 1 | Pattern Recognition Letters |
Citations | PageRank | References |
1 | 0.43 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| N. D. Gorski | 1 | 1 | 0.43 |
| L. M. Gorskaya | 2 | 1 | 0.43 |