| Title: | Offline Signature Verification through Probabilistic Neural Network |
| Authors: | Yin, Ooi Shih Jin, Andrew Teoh Beng Yan, Hiew Bee Han, Pang Ying |
| Citation: | WSCG 2010: Communication Papers Proceedings: 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS, p. 31-38. |
| Issue Date: | 2010 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_Short-proceedings.pdf http://hdl.handle.net/11025/11038 |
| ISBN: | 978-80-86943-87-9 |
| Keywords: | offline verifikace podpisu;diskrétní Radonova transformace;analýza hlavních komponent;pravděpodobnostní neuronové sítě |
| Keywords in different language: | offline signature verification;discrete Radon transform;principle component analysis;probabilistic neural networks |
| Abstract: | In this paper, we show the positive potential of verifying the offline handwritten signatures through discrete Radon transform (DRT), principle component analysis (PCA) and probabilistic neural network (PNN). Satisfactory results are obtained with 1.51%, 3.23%, and 13.07% equal error rate (EER) for random, casual, and skilled forgeries respectively on our independent database. |
| Rights: | © Václav Skala - UNION Agency |
| Appears in Collections: | WSCG 2010: Communication Papers Proceedings |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/11038Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.