PATENT CLAIM ANALYSIS

Application Number: 16235607
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-07
Patent Classification: ["358", "474000"]

Abstract:
The image forming apparatus sets, as a cutting area, an area containing an image of a double-page spread out of image data obtained by a scan of a book-type document, sets a borderline which divides an area corresponding to one page of the image data and an area corresponding to the other page of the image data from each other, and divides the cutting area cut out from the image data into a one-side area of the borderline and the other-side area of the borderline, thereby generating a first pre-output page in which divided image data of the one-side area is provided and a second pre-output page in which divided image data of the other-side area is provided.

Claim (Index 6):
The image forming apparatus according to  claim 1 , further comprising\n an operation panel for accepting, from a user, a start instruction and an end instruction for a job of scanning the book-type document and moreover for accepting a scan interval from the user, wherein the control section instructs the image reading section to repeatedly execute scanning at the scan interval accepted by the operation panel during a period from the operation panel's acceptance of the start instruction until its acceptance of the end instruction.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 98.0
- Lexical Diversity: 2.58333
- Patent Class: 358.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['09956911', '11640060', '10742309', '10359238', '15925896']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5014561706820454
- 35 USC 102 Novelty (BERT): 0.4999107788558038
- Combined Prediction Score: 0.5013016314994212
- Mean Citation Score: 202.14323800000005
- Max Citation Score: 225.77974
- Similarity Product: 151.532872975893

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