PATENT CLAIM ANALYSIS

Application Number: 15921661
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["358", "502000"]

Abstract:
This disclosure is directed to improving the precision of color reproducibility in a whole image region of any product provided with a base layer(s) regardless of any form of the base layer(s). The RIP (Raster Image Processor) device includes a color conversion processor that applies a color conversion process adapted for presence or absence of a base layer and for a base color to content data representing part or all of details of an image layer at a respective one of positions in an image region indicated by the image layer, and an image layer data generator that generates image layer data representing ejection-related information of ink droplets of a plurality of colors using the content data that has been subjected to the color conversion process.

Claim (Index 17):
The inkjet recording apparatus according to  claim 10 , wherein\n the recording medium is transparent, the image layer includes a first image layer and a second image layer, a background layer is formed between and in contact with the first image layer and the second image layer, the image layer data generator generates image layer data used to form the first image layer between the recording medium and the background layer depending on a type of the recording medium or the base layer, and the image layer data generator further generates image layer data used to form the second image layer on a surface of the background layer opposite to the first image layer depending on a type of the background layer.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 90.0
- Lexical Diversity: 1.90278
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12567232', '12332785', '10932021', '12407934', '13293939']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5461213858328725
- 35 USC 102 Novelty (BERT): 0.5067572417463051
- Combined Prediction Score: 0.5421849714242157
- Mean Citation Score: 230.300104
- Max Citation Score: 257.82663
- Similarity Product: 181.7014276385665

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