PATENT CLAIM ANALYSIS

Application Number: 16046652
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-02
Patent Classification: ["358", "449000"]

Abstract:
An image processing apparatus and a method of controlling the same, where in a case where it is not possible to identify the size of an original document to be read by a reading apparatus that scans and reads the original document, the reading apparatus is controlled to read the original document by a maximum reading region of the reading apparatus, image data of the original document is cropped from image data obtained by reading the original document by the maximum reading region, and the cropped image data of the original document is converted to a file.

Claim (Index 3):
The image processing apparatus according to  claim 1 , wherein the at least one processor executes the instructions further to:\n determine whether reading of an original document in the reading apparatus is reading of an original document fed from an auto document feeder, or reading of an original document placed on an original document platen, wherein the at least one processor, in a case of determining reading of an original document placed on the original document platen and not being able to identify the size of the original document, controls the reading apparatus to read the original document by the maximum reading region of the reading apparatus.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 95.0
- Lexical Diversity: 2.42857
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12763151', '10977069', '12700399', '12849363', '14835502']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.525013419780407
- 35 USC 102 Novelty (BERT): 0.4966879985331398
- Combined Prediction Score: 0.5221808776556803
- Mean Citation Score: 186.652482
- Max Citation Score: 196.03557
- Similarity Product: 129.1317359768307

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