Digital Image Retrieval Based on Selective Conceptual Based Features for Important Documents-Reference-Cited by-同舟云学术

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Digital Image Retrieval Based on Selective Conceptual Based Features for Important Documents

Published:2020-08-01 Issue: Volume: Page:569-579
ISSN:2367-4512
Container-title:Evolutionary Computing and Mobile Sustainable Networks
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Author:

Ghadekar Premanand,Kaneri Sushmita,Undre Adarsh,Jagtap Atul

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5258-8_53

Reference12 articles.

1. Mithe R, Indalkar S, Divekar N (2013) Optical character recognition. Int J Recent Technol Eng (IJRTE) 2(1):72–75

2. Patel C, Patel A, Patel D (2012) Optical character recognition by open-source OCR tool tesseract: A case study. Int J Comput Appl 55(10):50–56

3. Chaieb R, Kalti K, Essoukri Ben Amara N (2015) Interactive content-based document retrieval using fuzzy attributed relational graph matching. In: 13th International conference on document analysis and recognition (ICDAR), Tunis, 2015, pp. 921–925

4. Thomee B, Lew MS (2012) Int J Multimed Info Retr 1:71

5. Nakai T, Kise K, Iwamura M (2006) Use of affine invariants in locally likely arrangement hashing for camera-based document image retrieval. In: H. Bunke, A.L. Spitz (eds) Document analysis systems VII, DAS 2006. Lecture Notes in Computer Science, vol. 3872. Springer, Berlin

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Captioning Based Image Using Euclidean Distance and ResNet-50;2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI);2022-12-08

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