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 1):
A computer-implemented method for identifying information in an electronic document, comprising:\n obtaining a reference image of the electronic document; distorting the reference image by adjusting parameter values for a plurality of sets of parameters associated with a quality of the reference image to generate a plurality of distorted images; for each distorted image:\n analyzing the distorted image to attempt to detect a first set of parameters from the plurality of sets of parameters and corresponding parameter values used to generate the distorted image; and \n determining an accuracy of detection of the first set of parameters and the corresponding parameter values used to generate the distorted image, the determining including:\n comparing each detected parameter determined as a result of the analyzing the distorted image with the first set of parameters used for generating the distorted image; and \n determining the accuracy of the detection based on the comparison; \n \n obtaining a second image of the electronic document; determining, based on a model trained with the plurality of distorted images and respective accuracies of detection, a second set of parameters to be adjusted in the second image and a value corresponding to each parameter in the second set by which the parameter is to be adjusted; preparing the second image for optical character recognition (OCR) by adjusting each determined parameter in the second set of parameters by a corresponding determined value to generate a prepared second image; and performing OCR on the prepared second image.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.09459
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15337285', '15648513', '15219888', '16121376', '15167434']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3300255777316694
- 35 USC 102 Novelty (BERT): 0.5178589737442857
- Combined Prediction Score: 0.348808917332931
- Mean Citation Score: 223.587614
- Max Citation Score: 337.83533
- Similarity Product: 331.486314532932

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