PATENT CLAIM ANALYSIS

Application Number: 16281971
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["382", "158000"]

Abstract:
A method of identifying and recognizing characters using a dual-stage neural network pipeline, the method including: receiving, by a computing device, image data; providing the image data to a first convolutional layer of a convolutional neural network (CNN); applying, using the CNN, pattern recognition to the image data to identify a region of the image data containing text; providing sub-image data comprising the identified region of the image data to a convolutional recurrent neural network (CRNN); and recognizing, using the CRNN, the characters within the sub-image data.

Claim (Index 11):
The system of  claim 9 , further comprising a camera,\n wherein the instructions, when executed by the one or more processors, are further configured to cause the system to control the camera to capture an image of the document, the image data of the document being provided to the CNN corresponding to the captured image.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.26087
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15904964', '15491902', '15820253', '15524944', '15697454']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3260967240430149
- 35 USC 102 Novelty (BERT): 0.564245956785719
- Combined Prediction Score: 0.3499116473172853
- Mean Citation Score: 248.893166
- Max Citation Score: 474.01093
- Similarity Product: 353.9730852459395

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

Dataset: test