Evaluation of OCR Prediction Methods utilizing PCPT Data

Utilizing web data in identification and correction of OCR errors

In this thesis, we report on our experiments for detection and correction of OCR errors with web data. More specifically, we utilize Google search to access the big data resources available to identify possible candidates for correction. We then use a combination of the Longest Common Subsequences (LCS) and Bayesian estimates to automatically pick the proper candidate. Our experimental results ...

Utilizing Big Data in Identification and Correction of OCR Errors

Prediction of OCR Accuracy

The accuracy of all contemporary OCR technologies varies drastically as a function of input image quality [Rice 92, Rice 93, Chen 93, Rice 94]. Given high quality images, many devices consistently deliver output text in excess of 99% correct. For low quality images, even images which are easily read by a human, output accuracy is frequently below 90%. This extreme sensitivity to quality is well...

Prediction of Soil Properties from PCPT Pore Pressure Measurements Using Data Fusion

ABSTRACT: Although the piezocone penetration test (PCPT) has several advantages over traditional methods of sampling and laboratory analysis in determining representative properties of a soil deposit, the existing methods used to infer soil properties from PCPT data are not always reliable due to the complexity of cone penetration. In this study, it is proposed that the process of “data fusion”...

data mining rules and classification methods in insurance: the case of collision insurance

assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...