PATENT CLAIM ANALYSIS

Application Number: 15874095
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-10
Patent Classification: ["382", "176000"]

Abstract:
System and method for text localization in images are disclosed. In an embodiment, a line and graphic eliminated image is received. Further, horizontal projection is performed on rows of the image to obtain a first flag vector, the flag vector indicates whether there is text in each row. Furthermore, a number of run-lengths of consecutive 1's and 0's is computed in the first flag vector. Moreover, text lines is extracted in the image based on the computed number of run-lengths of consecutive 1's and 0's in the first flag vector. Also, vertical projection is performed on the text lines to obtain a second flag vector for the text lines. Further, a number of run-lengths of consecutive 1's and 0's is computed in the second flag vectors. Furthermore, text is localized in the image based on the computed number of run-lengths of consecutive 1's and 0's in the second flag vectors.

Claim (Index 15):
The system of  claim 12 , wherein the one or more hardware processors are capable of executing programmed instructions to:\n identify connected components in the image; compute a number of active pixels for each of the connected components; identify minimum and maximum pixel locations for each of the connected components; determine area occupied by each of the connected components using the minimum and maximum pixel locations; compute a percentage of active area based on a ratio of the number of active pixels and the area occupied; identify largest active areas and the corresponding connected components that are graphics; and remove the identified graphics and recording co-ordinates of the identified graphics.

Metadata:
- Claim Count in Document: 37.0
- Percentile: 86.0
- Lexical Diversity: 3.05263
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15118089', '10318921', '13521340', '12500477', '14605974']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3350742197589613
- 35 USC 102 Novelty (BERT): 0.4859235913016901
- Combined Prediction Score: 0.3501591569132342
- Mean Citation Score: 161.37070599999996
- Max Citation Score: 171.94582
- Similarity Product: 115.72969986781835

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