PATENT CLAIM ANALYSIS

Application Number: 16185354
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["382", "110000"]

Abstract:
The present invention relates to an animal recognition apparatus including an image recognition unit to generate, enroll, verify, and identify the raw or processed nose pattern code from the acquired nose pattern image, and to an animal recognition method including a nose pattern image acquisition step and nose code generation, enrollment, and matching steps.

Claim (Index 29):
The animal recognition apparatus according to  claim 27 , wherein the Gabor Cosine Transform is given by Equation (5): Re \ue8a0 ( V ) = \u222b 0 W \ue89e \u222b 0 H \ue89e I \ue8a0 ( a , b ) \ue89e e - ( a - a 0 ) 2 \u03b1 2 \ue89e e - ( b - b 0 ) 2 \u03b2 2 \ue89e cos \ue8a0 ( \u03c9 x \ue8a0 ( a - a 0 ) + \u03c9 y \ue8a0 ( b - b 0 ) ) \ue89e dbda ( Equation \ue89e \ue89e 5 ) wherein I(a,b) denotes a brightness of a pixel in the ROI at the position of (a,b), and represent coordinates of a point in the ROI, \u03b1, \u03b2 are parameters of the Gabor Transform to determine how large is an effective region to consider when calculating the frequency transform, and are parameters to determine a horizontal frequency and a vertical frequency, respectively.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 98.0
- Lexical Diversity: 1.69444
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14893043', '16185324', '12402761', '13666168', '13452126']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3699339362300978
- 35 USC 102 Novelty (BERT): 0.5586594913539952
- Combined Prediction Score: 0.3888064917424876
- Mean Citation Score: 277.81579600000003
- Max Citation Score: 472.62018
- Similarity Product: 310.59571827959775

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