Abstract: Offline Hindi Signature Recognition Using Surf Feature Extraction and Neural Networks Approach
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

Downloads: 106

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 8, August 2014

Offline Hindi Signature Recognition Using Surf Feature Extraction and Neural Networks Approach

Harpreet Kaur, Simarjeet Kaur

: The signatures are one of the ways to identify the signer. Signature recognition is the process of verifying the persons identity by checking their signature with the signatures which are stored in the database. This process is of two types: offline and online. This paper deals with the offline technique. This technique recognizes the person whether he/she is genuine or forged. In this paper the offline signature recognition technique is proposed using neural networks and surf feature extraction. The signatures are taken as an image form, which are captured by any camera or digital scanner. The parameter are extracted with the help of surf feature extraction method is proposed. The feature extraction is the key to develop the offline signature recognition system. The proposed code is implemented on the Matlab software.

Keywords: Document authentication, Neural Network and Signature Recognition, Hindi signatures

Edition: Volume 3 Issue 8, August 2014

Pages: 1141 - 1146

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How to Cite this Article?

Harpreet Kaur, Simarjeet Kaur, "Offline Hindi Signature Recognition Using Surf Feature Extraction and Neural Networks Approach", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=2015552, Volume 3 Issue 8, August 2014, 1141 - 1146

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