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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | A Shape Context Based Feature Matching Approach |
| Authors Name: | Shailja Sharma , Princy , Kirti Bhatia |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_197140
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| Published Paper Id: | IJNRD2305751 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | The intricate nature of the form context technique is discussed, as well as its simplicity. The Fourier Transform is included in an innovative, yet straightforward design shape context method that is given for object detection. Relevance of form context is described as a crucial characteristic for the recognition process. Information about all is included. The contour points used to compute the distribution are discussed (with respect to a reference point). The role of similarity checking is addressed along with the specifics of how matching mistakes are computed using the alignment transform. The current instance of the shape context descriptor is supported by evidence demonstrating its invariance to translation, rotation, and scaling operations (for each point with respect to the centroid). The resemblance matching process apply Euclidean distance. For measuring form similarity and regaining point correspondences, we present a novel shape descriptor based feature matching method. In relation to a point inside or on the shape's edge, the shape context describes the shape's rough layout. In a bipartite graph matching framework, the shape context is used as a vector-valued attribute. No special markings or keypoints are required because our suggested approach only uses just a handful of points drawn from the set of edges that were discovered. Within our approach, there is support for tolerance and/or invariance to common picture alterations. The findings show that the adjusted shape context-based descriptor is more effective than other descriptors of related interests in comparison to those presented |
| Keywords: | Logo Comparison, Features Matching, Shape Context |
| Cite Article: | "A Shape Context Based Feature Matching Approach", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.h383-h387, May 2023, Available :http://www.ijnrd.org/papers/IJNRD2305751.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305751 Registration ID: 197140 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: h383-h387 Country: Bahadurgarh, Haryana, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305751 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305751 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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