PATENT CLAIM ANALYSIS

Application Number: 16176921
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["358", "003260"]

Abstract:
An image reading apparatus according to an embodiment includes an image reading unit configured to generate reference data by reading a reference surface and to generate image data by reading a sheet. A reference unit has a reference surface. A shading correction unit determines whether a portion of the reference surface includes a contaminant based on image data generated by the image reading unit reading the portion of the reference unit. When the portion of the reference surface is determined to not include a contaminant, the shading correction unit generates reference data based on the image data generated by the image reading unit reading the portion of the reference surface determined to not include a contaminant.

Claim (Index 1):
An image reading apparatus comprising:\n a reference roller having a reference surface; a scanner configured to scan a portion of the reference surface; and a controller configured to:\n control the scanner to continuously scan the portion of the reference surface by rotating the reference roller so as to scan an entire area of the reference surface and generate image data thereof; and \n based on the generated image data, generate a reference value for detecting a contaminant on the reference surface.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 97.0
- Lexical Diversity: 3.025
- Patent Class: 358.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15404765', '16028078', '15401532', '13105531', '12926212']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4868108802211583
- 35 USC 102 Novelty (BERT): 0.4947083953170012
- Combined Prediction Score: 0.4876006317307426
- Mean Citation Score: 177.96453200000005
- Max Citation Score: 239.13354
- Similarity Product: 181.4812197626209

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