PATENT CLAIM ANALYSIS

Application Number: 16201251
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["358", "001150"]

Abstract:
An image reading apparatus includes a storage unit, a reading unit, a character recognition unit, an acquisition unit, and a registration unit. The storage unit stores an address book capable of registering, in the address book, information as group destination information. The reading unit reads at least one document to generate image data. The character recognition unit recognizes character information in the image data. The acquisition unit acquires a plurality of pieces of destination information from the character information recognized by the character recognition unit. The registration unit registers, in the address book and as the group destination information, the plurality of pieces of destination information acquired by the acquisition unit.

Claim (Index 19):
A method to control an image reading apparatus, the method comprising:\n storing an address book capable of registering, in the address book, information as group destination information; reading at least one document to generate image data; recognizing character information in the image data; acquiring a plurality of pieces of destination information from the recognized character information; and registering, in the address book and as the group destination information, the acquired plurality of pieces of destination information.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 98.0
- Lexical Diversity: 2.71739
- Patent Class: 358.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13896669', '14101876', '14740090', '12555849', '13666772']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5048663456082404
- 35 USC 102 Novelty (BERT): 0.4858702148659642
- Combined Prediction Score: 0.5029667325340128
- Mean Citation Score: 196.538714
- Max Citation Score: 199.722
- Similarity Product: 145.21967859578135

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