PATENT CLAIM ANALYSIS

Application Number: 15883256
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-08
Patent Classification: ["382", "224000"]

Abstract:
Various embodiment herein each include at least one of systems, devices, methods, and software for rapid landmark-based media recognition. One such embodiment, in the form of a method includes receiving a document image comprising pixels and processing the pixels of the document image to identify landmarks present therein. The method then selects a document template classification group based on the landmarks identified within the document image and compares the document image to document templates of the selected document template classification group to classify a document type of the received image. Some embodiments of the method further include forwarding the document image and the document type classification to a document type validation process.

Claim (Index 20):
The device of  claim 19 , further comprising:\n a network interface device; and wherein processing the pixels of the document image and selecting a document template classification group include transmitting the document image via the network interface device for the processing and selecting to be performed remotely and receiving the selection via the network interface in response thereto.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 1.93548
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15883814', '11370550', '14818845', '13509169', '14571766']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3047614726079169
- 35 USC 102 Novelty (BERT): 0.4860203673327988
- Combined Prediction Score: 0.3228873620804052
- Mean Citation Score: 146.20772399999996
- Max Citation Score: 173.43579
- Similarity Product: 114.84144313025236

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

Dataset: test