Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204405138> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W3204405138 endingPage "617" @default.
- W3204405138 startingPage "607" @default.
- W3204405138 abstract "Handwritten recognition model characters have been reported by various researchers in past years and it becomes the most challenging day by day in this age of the digital world. Many machine learning algorithms have a great influence over the handwritten recognition system. In this segment, deep learning is one of the enhanced techniques to solve pattern recognition problems. Such complex problem we have imposed with convolutional neural network (CNN) for the handwritten characters. In this paper, we have made an attempt to build a recognition system for multi-scripts such as Odia and Bangla scripts. Here we have defined the data-driven learning mechanism of CNN along with deriving the discriminate features of handwritten images. This light-weighted CNN provides a feasible solution and reports a high recognition rate. Such deep learning-based approach is a new state of art method for developing an automatic recognition model and to meet real-time challenges." @default.
- W3204405138 created "2021-10-11" @default.
- W3204405138 creator A5047141684 @default.
- W3204405138 creator A5050752140 @default.
- W3204405138 creator A5090967969 @default.
- W3204405138 date "2021-09-05" @default.
- W3204405138 modified "2023-09-23" @default.
- W3204405138 title "A Deep Convolutional Neural Network-Based Approach for Handwritten Recognition System" @default.
- W3204405138 cites W1982665579 @default.
- W3204405138 cites W1985626581 @default.
- W3204405138 cites W2000020734 @default.
- W3204405138 cites W2003910950 @default.
- W3204405138 cites W2044943596 @default.
- W3204405138 cites W2050182383 @default.
- W3204405138 cites W2101321961 @default.
- W3204405138 cites W2111364271 @default.
- W3204405138 cites W2112625074 @default.
- W3204405138 cites W2112796928 @default.
- W3204405138 cites W2135306864 @default.
- W3204405138 cites W2137126602 @default.
- W3204405138 cites W2142069714 @default.
- W3204405138 cites W2143412749 @default.
- W3204405138 cites W2151633502 @default.
- W3204405138 cites W2162403778 @default.
- W3204405138 cites W2168893862 @default.
- W3204405138 cites W2253310635 @default.
- W3204405138 cites W2294817589 @default.
- W3204405138 cites W2303931467 @default.
- W3204405138 cites W2578182454 @default.
- W3204405138 cites W2622826443 @default.
- W3204405138 cites W2805732852 @default.
- W3204405138 cites W2901083258 @default.
- W3204405138 cites W2911250344 @default.
- W3204405138 cites W2963123666 @default.
- W3204405138 cites W2972039641 @default.
- W3204405138 cites W3095888623 @default.
- W3204405138 cites W3109855078 @default.
- W3204405138 cites W4229674555 @default.
- W3204405138 doi "https://doi.org/10.1007/978-981-16-2543-5_52" @default.
- W3204405138 hasPublicationYear "2021" @default.
- W3204405138 type Work @default.
- W3204405138 sameAs 3204405138 @default.
- W3204405138 citedByCount "1" @default.
- W3204405138 countsByYear W32044051382023 @default.
- W3204405138 crossrefType "book-chapter" @default.
- W3204405138 hasAuthorship W3204405138A5047141684 @default.
- W3204405138 hasAuthorship W3204405138A5050752140 @default.
- W3204405138 hasAuthorship W3204405138A5090967969 @default.
- W3204405138 hasConcept C108583219 @default.
- W3204405138 hasConcept C111919701 @default.
- W3204405138 hasConcept C115961682 @default.
- W3204405138 hasConcept C119857082 @default.
- W3204405138 hasConcept C121144440 @default.
- W3204405138 hasConcept C153180895 @default.
- W3204405138 hasConcept C154945302 @default.
- W3204405138 hasConcept C175202392 @default.
- W3204405138 hasConcept C28490314 @default.
- W3204405138 hasConcept C2987247673 @default.
- W3204405138 hasConcept C41008148 @default.
- W3204405138 hasConcept C44868376 @default.
- W3204405138 hasConcept C50644808 @default.
- W3204405138 hasConcept C61423126 @default.
- W3204405138 hasConcept C81363708 @default.
- W3204405138 hasConceptScore W3204405138C108583219 @default.
- W3204405138 hasConceptScore W3204405138C111919701 @default.
- W3204405138 hasConceptScore W3204405138C115961682 @default.
- W3204405138 hasConceptScore W3204405138C119857082 @default.
- W3204405138 hasConceptScore W3204405138C121144440 @default.
- W3204405138 hasConceptScore W3204405138C153180895 @default.
- W3204405138 hasConceptScore W3204405138C154945302 @default.
- W3204405138 hasConceptScore W3204405138C175202392 @default.
- W3204405138 hasConceptScore W3204405138C28490314 @default.
- W3204405138 hasConceptScore W3204405138C2987247673 @default.
- W3204405138 hasConceptScore W3204405138C41008148 @default.
- W3204405138 hasConceptScore W3204405138C44868376 @default.
- W3204405138 hasConceptScore W3204405138C50644808 @default.
- W3204405138 hasConceptScore W3204405138C61423126 @default.
- W3204405138 hasConceptScore W3204405138C81363708 @default.
- W3204405138 hasLocation W32044051381 @default.
- W3204405138 hasOpenAccess W3204405138 @default.
- W3204405138 hasPrimaryLocation W32044051381 @default.
- W3204405138 hasRelatedWork W2337926734 @default.
- W3204405138 hasRelatedWork W2732542196 @default.
- W3204405138 hasRelatedWork W2738221750 @default.
- W3204405138 hasRelatedWork W2763109982 @default.
- W3204405138 hasRelatedWork W3156786002 @default.
- W3204405138 hasRelatedWork W3204405138 @default.
- W3204405138 hasRelatedWork W4311257506 @default.
- W3204405138 hasRelatedWork W4320802194 @default.
- W3204405138 hasRelatedWork W4366224123 @default.
- W3204405138 hasRelatedWork W564581980 @default.
- W3204405138 isParatext "false" @default.
- W3204405138 isRetracted "false" @default.
- W3204405138 magId "3204405138" @default.
- W3204405138 workType "book-chapter" @default.