PATENT CLAIM ANALYSIS

Application Number: 15923094
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["382", "135000"]

Abstract:
Systems for dynamically detecting duplicate items are provided. In some examples, a system, may receive a document, document image, document details or the like. The system may identify at least one other document for comparison to the received document. The system may perform optical character recognition on the document or document image to identify data within one or more standard fields of the document. The detected data may be compared to the at least one other document and, if no matches exist, the document may be identified as not a duplicate. If one or more matches exist, the system may identify x and y coordinates of a location of data within one or more standard fields on the received document. A corresponding location on the at least one other document may be identified based on the x and y coordinates. A comparison of data at the location on the received document to data at the location on the at least one other document may be performed and, if a match exists, the received document may be identified as a duplicate.

Claim (Index 19):
The one or more non-transitory computer-readable media of  claim 18 , wherein the plurality of standard fields includes at least two of: payee name, amount, date, signature, and memo.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 90.0
- Lexical Diversity: 3.03077
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14066363', '15056432', '15056421', '14472202', '14686891']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3372614287638011
- 35 USC 102 Novelty (BERT): 0.4894736981477686
- Combined Prediction Score: 0.3524826557021979
- Mean Citation Score: 152.60629999999995
- Max Citation Score: 156.3982
- Similarity Product: 98.34871221835613

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