Efficient Stamps Classification by Means of Point Distance Histogram and Discrete Cosine Transform

Author:

Forczmański Paweł,Frejlichowski Dariusz

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Frejlichowski, D.: The Point Distance Histogram for Analysis of Erythrocyte Shapes. Polish Journal of Environmental Studies 16(5b), 261–264 (2007)

2. Frejlichowski, D.: Influence of the Number of Bins on the Recognition Results Using Point Distance Histogram. Electronics — Constructions, Technologies, Applications (11), 58–60 (2009)

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

4. LNAI;D. Frejlichowski,2010

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

Cited by 3 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. Stamps Detection and Classification Using Simple Features Ensemble;Mathematical Problems in Engineering;2015

2. Low-Level Image Features for Stamps Detection and Classification;Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013;2013

3. Principal Component Analysis of Point Distance Histogram for Recognition of Stamp Silhouettes;Advances in Intelligent and Soft Computing;2011

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