PATENT CLAIM ANALYSIS

Application Number: 15933185
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["358", "488000"]

Abstract:
Provided is a document reading apparatus that is able to determine a document size even when there is a large number of target document sizes to be determined. The diagonal-line-identifying unit identifies a diagonal line for determining size in image data that is read by the scanner. The document-size-determining unit determines document size in either a first determining operation or a second determining operation. The first determining operation is based on determining data that is read by arranging the scanner at a large-size determining position after a second opening/closing detecting sensor detects a closed state after detecting an open state. The second determining operation is based on change in the diagonal line for determining size in determining data that is read while the scanner scans from the large-size determining position after a first opening/closing detecting sensor detects a closed state.

Claim (Index 5):
The document reading apparatus according to  claim 1 , wherein\n the contact glass has a size on which a document up to a size A3 portrait can be set; and of target document sizes to be determined that include the sizes A5 portrait, A5 landscape, B5 portrait, B5 landscape, A4 portrait, A4 landscape, B4 portrait, and A3 portrait, the document-size determining unit determines document sizes B5 portrait, A4 portrait, B4 portrait and A3 portrait in the first-determining operation, and determines document sizes A5 portrait, A5 landscape, B5 landscape and A4 landscape in the second determining operation.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 90.0
- Lexical Diversity: 2.30159
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11557570', '14031598', '11790127', '14995993', '11357188']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5411565378851941
- 35 USC 102 Novelty (BERT): 0.4895564451744461
- Combined Prediction Score: 0.5359965286141193
- Mean Citation Score: 212.69729
- Max Citation Score: 223.07458
- Similarity Product: 172.35042438255192

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