PATENT CLAIM ANALYSIS

Application Number: 15868094
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["347", "009000"]

Abstract:
An image forming system that classifies a block formed by Nb pixels included in image data into Nt groups including a group including a pixel of a highest gradation value and a group including a pixel of a lowest gradation value, generates, for at least one of the Nt groups, positional information that is information indicating positions of pixels that form the corresponding group, determines a block gradation value in accordance with a data amount that is smaller than a data amount that is used for expressing gradation values of the Nb pixels for each of the Nt groups as a target, based on a gradation value for each of pixels that form each group, tentatively determines, determines, for the block as a target, the dot arrangement using the tentatively determined dot arrangement and the positional information, and forms an image using the determined dot arrangement.

Claim (Index 5):
The image forming system according to  claim 1 ,\n wherein, if an edge is not included in the block, the classifying section does not execute the classifying, and if an edge is not included in the block, the dot arrangement determination section determines the dot arrangement, based on the block gradation value.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 86.0
- Lexical Diversity: 2.49206
- Patent Class: 347.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11192995', '14977299', '13428528', '11318046', '10346985']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7768016470627022
- 35 USC 102 Novelty (BERT): 0.4987300983489599
- Combined Prediction Score: 0.748994492191328
- Mean Citation Score: 235.13437400000004
- Max Citation Score: 256.91238
- Similarity Product: 184.0802888400757

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