PATENT CLAIM ANALYSIS

Application Number: 16108227
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["235", "468000"]

Abstract:
The present invention provides an invisible-feature detection device capable of easily detecting a serial number with an invisible feature at low cost, a sheet recognition device, a sheet handling device, a print inspection device, and an invisible-feature detection method.

Claim (Index 1):
An invisible-feature detection device configured to detect an invisible feature of a serial number printed on a sheet, the invisible-feature detection device comprising:\n a detector configured to detect the invisible feature from the sheet; a memory configured to store a reference data set; and a determiner configured:\n to compare a detected data set based on the invisible feature of the sheet detected by the detector with the reference data set; and \n to determine that the serial number with the invisible feature is printed on the sheet when a difference is present between the detected data set and the reference data set in an area corresponding to a detection-target area of the sheet, the detection-target area including the serial number printed therein, \n wherein the reference data set is based on a reference invisible feature detected from a reference sheet including a printed pattern at least excluding the serial number with the invisible feature.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 96.0
- Lexical Diversity: 1.46667
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14218238', '12678642', '12593555', '12737684', '13266535']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5664009082210865
- 35 USC 102 Novelty (BERT): 0.4731460536219731
- Combined Prediction Score: 0.5570754227611752
- Mean Citation Score: 183.816628
- Max Citation Score: 193.53175
- Similarity Product: 137.45776344059408

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

Dataset: test