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 7):
The image reading apparatus according to  claim 1 , further comprising an image generation unit configured to generate, in a case where the reading unit reads a plurality of documents at one reading to generate a plurality of pieces of image data that each corresponds to a different one of the plurality of documents,\n wherein the character recognition unit recognizes character information in each of the plurality of pieces of image data generated by the image generation unit, and wherein the acquisition unit acquires the plurality of pieces of destination information by acquiring the destination information from the character information in each of the plurality of pieces of image data.

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): 0.5041434729076225
- 35 USC 102 Novelty (BERT): 0.4887474613624898
- Combined Prediction Score: 0.5026038717531093
- Mean Citation Score: 196.538714
- Max Citation Score: 199.722
- Similarity Product: 140.92113365364074

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