Low-Level Image Features for Stamps Detection and Classification-Reference-Cited by-同舟云学术

Low-Level Image Features for Stamps Detection and Classification

Published:2013 Issue: Volume: Page:383-392
ISSN:2194-5357
Container-title:Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013
language:
Short-container-title:

Author:

Forczmański Paweł,Markiewicz Andrzej

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-00969-8_37

Reference13 articles.

1. Duda, R.O., Hart, P.E.: Use of the Hough Transformation to Detect Lines and Curves in Pictures. Communications of the ACM 15(1) (1972)

2. Lecture Notes in Computer Science;P. Forczmański,2010

3. AISC;P. Forczmański,2011

4. Lecture Notes in Computer Science;D. Frejlichowski,2010

5. Hassanzadeh, S., Pourghassem, H.: A Novel Logo Detection and Recognition Framework for Separated Part Logos in Document Images. Australian Journal of Basic and Applied Sciences 5(9), 936–946 (2011)

Cited by 8 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. Neural Network-based System for Automatic Passport Stamp Classification;Information Technology And Control;2020-12-19

2. An evaluation of utilizing geometric features for wheat grain classification using X-ray images;Computers and Electronics in Agriculture;2018-01

3. D-StaR: A Generic Method for Stamp Segmentation from Document Images;2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR);2017-11

4. Two-stage approach to extracting visual objects from paper documents;Machine Vision and Applications;2016-08-24

5. Predicting the Number of DCT Coefficients in the Process of Seabed Data Compression;Computer Analysis of Images and Patterns;2015