PATENT CLAIM ANALYSIS

Application Number: 16160641
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["358", "003100"]

Abstract:
An image forming apparatus includes: an image former that forms an image on a sheet on the basis of print image data obtained by performing image processing on raster data subjected to raster image processing; an image reader that reads the image formed on the sheet on the basis of the print image data by the image former to acquire uncorrected read image data; and a hardware processor that compares the raster data with read image data generated from the uncorrected read image data acquired by the image reader to inspect a print state of the image formed on the sheet, wherein the hardware processor, when inspecting the print state of the image formed on the sheet, offsets an amount of adjustment adjusted by the image processing performed on the raster data.

Claim (Index 4):
The image forming apparatus according to  claim 1 , wherein\n a setting condition including priority order of processing during inspection of the print state of the image formed on the sheet is set, and the hardware processor corrects any one of the uncorrected read image data and the raster data depending on a CPU usage status or the setting condition on the basis of correction information obtained from image processing information for adjusting the raster data to the print image data.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 97.0
- Lexical Diversity: 2.67308
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16157527', '15414951', '15864122', '15278604', '15296413']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5126902744093842
- 35 USC 102 Novelty (BERT): 0.4692292615930323
- Combined Prediction Score: 0.508344173127749
- Mean Citation Score: 151.708174
- Max Citation Score: 164.48256999999995
- Similarity Product: 129.2632237773585

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