Matches in SemOpenAlex for { <https://semopenalex.org/work/W2610549920> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2610549920 abstract "Text data present in scene images may be the important clue for indexing, automatic footnote, and indexing of images. Now-a-days extraction of text from images has become one of the fastest growing research areas in the field of computer vision. In scene images, text data are present with huge variations in font sizes, styles, alignments, and orientations. These variations make the task of detection and extraction of the text regions from scene images challenging as well as difficult. Low image contrast and complex background also affect the task of text detection and extraction from scene images. Extraction of text from images involves detection, localization, extraction, and enhancement. The goal of this paper is to develop a new and efficient method of text extraction by combining some features from edge-based and connected-component based algorithms. A set of images has been used as input to compare the efficiency of the proposed algorithm. We have calculated the precision, recall rates and accuracy of the proposed algorithm and showed that average accuracy for eight test images is higher than the existing methods. Thus, our proposed algorithm is robust in the extraction of text from different types of scene images." @default.
- W2610549920 created "2017-05-12" @default.
- W2610549920 creator A5001420175 @default.
- W2610549920 creator A5032219102 @default.
- W2610549920 creator A5056313455 @default.
- W2610549920 date "2016-12-01" @default.
- W2610549920 modified "2023-09-23" @default.
- W2610549920 title "An approach to extract text regions from scene image" @default.
- W2610549920 cites W1973912788 @default.
- W2610549920 cites W1995170034 @default.
- W2610549920 cites W2022979015 @default.
- W2610549920 cites W2027883219 @default.
- W2610549920 cites W2121635872 @default.
- W2610549920 cites W2121839820 @default.
- W2610549920 cites W2142082467 @default.
- W2610549920 cites W2151513587 @default.
- W2610549920 cites W2152235937 @default.
- W2610549920 cites W2237722484 @default.
- W2610549920 cites W2284221498 @default.
- W2610549920 doi "https://doi.org/10.1109/cast.2016.7914955" @default.
- W2610549920 hasPublicationYear "2016" @default.
- W2610549920 type Work @default.
- W2610549920 sameAs 2610549920 @default.
- W2610549920 citedByCount "5" @default.
- W2610549920 countsByYear W26105499202017 @default.
- W2610549920 countsByYear W26105499202020 @default.
- W2610549920 countsByYear W26105499202021 @default.
- W2610549920 crossrefType "proceedings-article" @default.
- W2610549920 hasAuthorship W2610549920A5001420175 @default.
- W2610549920 hasAuthorship W2610549920A5032219102 @default.
- W2610549920 hasAuthorship W2610549920A5056313455 @default.
- W2610549920 hasConcept C115961682 @default.
- W2610549920 hasConcept C153180895 @default.
- W2610549920 hasConcept C154945302 @default.
- W2610549920 hasConcept C162324750 @default.
- W2610549920 hasConcept C177264268 @default.
- W2610549920 hasConcept C187736073 @default.
- W2610549920 hasConcept C199360897 @default.
- W2610549920 hasConcept C202444582 @default.
- W2610549920 hasConcept C2780451532 @default.
- W2610549920 hasConcept C31972630 @default.
- W2610549920 hasConcept C33923547 @default.
- W2610549920 hasConcept C41008148 @default.
- W2610549920 hasConcept C52622490 @default.
- W2610549920 hasConcept C75165309 @default.
- W2610549920 hasConcept C81669768 @default.
- W2610549920 hasConcept C9652623 @default.
- W2610549920 hasConceptScore W2610549920C115961682 @default.
- W2610549920 hasConceptScore W2610549920C153180895 @default.
- W2610549920 hasConceptScore W2610549920C154945302 @default.
- W2610549920 hasConceptScore W2610549920C162324750 @default.
- W2610549920 hasConceptScore W2610549920C177264268 @default.
- W2610549920 hasConceptScore W2610549920C187736073 @default.
- W2610549920 hasConceptScore W2610549920C199360897 @default.
- W2610549920 hasConceptScore W2610549920C202444582 @default.
- W2610549920 hasConceptScore W2610549920C2780451532 @default.
- W2610549920 hasConceptScore W2610549920C31972630 @default.
- W2610549920 hasConceptScore W2610549920C33923547 @default.
- W2610549920 hasConceptScore W2610549920C41008148 @default.
- W2610549920 hasConceptScore W2610549920C52622490 @default.
- W2610549920 hasConceptScore W2610549920C75165309 @default.
- W2610549920 hasConceptScore W2610549920C81669768 @default.
- W2610549920 hasConceptScore W2610549920C9652623 @default.
- W2610549920 hasLocation W26105499201 @default.
- W2610549920 hasOpenAccess W2610549920 @default.
- W2610549920 hasPrimaryLocation W26105499201 @default.
- W2610549920 hasRelatedWork W1837385667 @default.
- W2610549920 hasRelatedWork W1981266349 @default.
- W2610549920 hasRelatedWork W1987629793 @default.
- W2610549920 hasRelatedWork W2019757066 @default.
- W2610549920 hasRelatedWork W2028222138 @default.
- W2610549920 hasRelatedWork W2069816967 @default.
- W2610549920 hasRelatedWork W2070012274 @default.
- W2610549920 hasRelatedWork W2139845396 @default.
- W2610549920 hasRelatedWork W2141098897 @default.
- W2610549920 hasRelatedWork W2141601279 @default.
- W2610549920 hasRelatedWork W2155096019 @default.
- W2610549920 hasRelatedWork W2307331802 @default.
- W2610549920 hasRelatedWork W2439424429 @default.
- W2610549920 hasRelatedWork W2539633916 @default.
- W2610549920 hasRelatedWork W2579296833 @default.
- W2610549920 hasRelatedWork W2735673014 @default.
- W2610549920 hasRelatedWork W2967580786 @default.
- W2610549920 hasRelatedWork W3000281377 @default.
- W2610549920 hasRelatedWork W2415829069 @default.
- W2610549920 hasRelatedWork W2561487953 @default.
- W2610549920 isParatext "false" @default.
- W2610549920 isRetracted "false" @default.
- W2610549920 magId "2610549920" @default.
- W2610549920 workType "article" @default.