PATENT CLAIM ANALYSIS

Application Number: 16293806
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-09
Patent Classification: ["358", "540000"]

Abstract:
An image reading apparatus includes a first sensor that reads a first area of an image, a second sensor that reads a second area, and a processing circuit that generates a merge image by performing a merge process on first image data acquired by reading by the first sensor and second image data acquired by reading by the second sensor. The processing circuit calculates a correction value having a tendency of approaching zero as being away from an overlap area between the first area and the second area based on a reading result acquired by reading the overlap area by the first sensor and a reading result acquired by reading by the second sensor, and generates the merge image by performing an offset process using the correction value.

Claim (Index 7):
The image reading apparatus according to  claim 6 , wherein D \u2032 \ue8a0 ( x ) = x B - x x B - x A \ue89e D 1 \u2032 \ue8a0 ( x ) + x - x A x B - x A \ue89e D 2 \u2032 \ue8a0 ( x ) . x being equal to or smaller than x A  and equal to or larger than x B , wherein an X axis is set in a direction corresponding to a main scanning axis of the image reading apparatus, and for two end points of the overlap area, x A  is an X coordinate value of an end point on the first sensor, and x B  is an X coordinate value of an end point on the second sensor, x A  being smaller than x B , and at x at which the X coordinate value satisfies x A \u2264x\u2264x B , D\u2032 1 (x) is a pixel value of the first image data after the offset process, D\u2032 2 (x) is a pixel value of the second image data after the offset process, and D\u2032(x) is a pixel value of the merge image.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 99.0
- Lexical Diversity: 2.8913
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16293785', '14219267', '12023539', '15644892', '14469731']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.522612382980071
- 35 USC 102 Novelty (BERT): 0.527988290120133
- Combined Prediction Score: 0.5231499736940771
- Mean Citation Score: 203.040064
- Max Citation Score: 330.65063
- Similarity Product: 227.208354657234

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