PATENT CLAIM ANALYSIS

Application Number: 16138669
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-02
Patent Classification: ["382", "159000"]

Abstract:
Techniques are disclosed for performing optical character recognition (OCR) by assessing and improving quality of electronic documents to perform the OCR. For example a method for identifying information in an electronic document includes obtaining a reference image of the electronic document, distorting the reference image by adjusting different sets of one or more parameters associated with a quality of the reference image to generate a plurality of distorted images, analyzing each distorted image to detect the adjusted set of parameters and corresponding adjusted values, determining an accuracy of detection of the set of parameters and the adjusted values, and training a model based at least on the plurality of distorted images and the accuracy of the detection, wherein the trained model determines at least a first technique for adjusting a set of parameters in a second image to prepare the second image for optical character recognition.

Claim (Index 14):
The apparatus of  claim 13 , wherein the model is further trained based on the associated information regarding the set of characteristics.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.09459
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15337285', '15648513', '15219888', '16121376', '15167434']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3571155115754249
- 35 USC 102 Novelty (BERT): 0.5270090489072926
- Combined Prediction Score: 0.3741048653086117
- Mean Citation Score: 223.587614
- Max Citation Score: 337.83533
- Similarity Product: 243.8063984480596

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test