PATENT CLAIM ANALYSIS

Application Number: 15902339
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["347", "014000"]

Abstract:
A method for carrying out a printing operation on an inkjet printing machine compensates for failed printing nozzles by using a computer. After a screening process in which a halftone image is created for an image to be printed, failed printing nozzles are compensated for by increased ink application from neighboring printing nozzles by precalculating at least one corrective halftone image for the adjacent printing nozzles by using the computer, replacing the halftone image created in the screening process by the corrective halftone image in the at least one column of the neighboring printing nozzles, and carrying out the printing operation on the inkjet printing machine using the corrected halftone.

Claim (Index 3):
The method according to  claim 2 , which further comprises both left and right of the failed printing nozzle as viewed in the printing direction:\n using the at least one column immediately adjacent the failed printing nozzle to compensate for the failed printing nozzle by using at least one first corrective halftone image with increased ink application, and using the at least one column being farther away from the failed printing nozzle to prevent potential overcompensation by using at least one second corrective halftone image with reduced ink application.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 88.0
- Lexical Diversity: 2.2549
- Patent Class: 347.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15836962', '15872387', '15632603', '14940358', '11675761']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7755794070199256
- 35 USC 102 Novelty (BERT): 0.500125542187773
- Combined Prediction Score: 0.7480340205367103
- Mean Citation Score: 230.500198
- Max Citation Score: 239.49916
- Similarity Product: 156.91177092984674

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