PATENT CLAIM ANALYSIS

Application Number: 16167613
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["358", "449000"]

Abstract:
An image reading apparatus including: an original reading circuit configured to scan at least one original placed on an original table and read an image of the original; an original size detector configured to detect a size of an original to be scanned before the scan; and a control circuit configured to determine as a reading-area an area from which an image is to be read by the original reading circuit by referring to the original size detected by the original size detector, wherein the control circuit is configured to initiate a multi-crop process in which the original reading circuit scans a plurality of originals placed on the original table in batch as a batch-scan and crops an image of each of the originals, and to determine the reading-area based on a width of a maximum original in a main scanning direction and a length of a maximum original in a sub-scanning direction regardless of the detection of the original size detector when initiating the multi-crop process.

Claim (Index 2):
The image reading apparatus according to  claim 1 , wherein the reading-area for the batch-scan is larger than a reading-area of a maximum original detectable by the original size detector.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 2.58209
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15356734', '15838521', '15356731', '15889467', '12489178']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5810197104027339
- 35 USC 102 Novelty (BERT): 0.5942245282594975
- Combined Prediction Score: 0.5823401921884103
- Mean Citation Score: 362.45621
- Max Citation Score: 490.11368
- Similarity Product: 485.3104700237083

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

Dataset: test