PATENT CLAIM ANALYSIS

Application Number: 16025250
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["358", "001900"]

Abstract:
Provided are an image processing apparatus, an image processing method, and a storage medium that can contribute to formation of electric circuits having different resistance values without causing increase in cost. The image processing apparatus generates print data for printing an electrically conductive print image on a print medium by ejecting a metal particle-containing ink from ejection device, the image processing apparatus has: a setting unit configured to set a printing condition based on a resistance value of the electrically conductive print image so as to change at least one of an amount of ink droplets of the metal particle-containing ink contacting each other and a time to be taken for ejected metal particle-containing ink droplets to contact each other; and a generation unit configured to generate the print data based on image data for the electrically conductive print image and the printing condition.

Claim (Index 5):
The image processing apparatus according to  claim 1 , wherein\n the printing condition is the number of passes in multi-pass printing, and the setting unit sets a larger number of passes as the resistance value of the electrically conductive print image becomes larger, and the setting unit sets a smaller number of passes as the resistance value becomes smaller.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 95.0
- Lexical Diversity: 1.98684
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10622479', '11617074', '09629093', '15780638', '14331598']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5416925660959536
- 35 USC 102 Novelty (BERT): 0.500110249991459
- Combined Prediction Score: 0.5375343344855041
- Mean Citation Score: 215.385452
- Max Citation Score: 218.84859
- Similarity Product: 146.9277320936501

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test