TELKOMNIKA Telecommunication, Computing, Electronics and Control
Offline signatures matching using haar wavelet subbands

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Offline signatures matching using haar wavelet subbands

Energy, Haar wavelet, Signature recognition

The complexity of multimedia contents is significantly increasing in the current world. This leads to an exigent demand for developing highly effective systems to satisfy human needs. Until today, handwritten signature considered an important means that is used in banks and businesses to evidence identity, so there are many works tried to develop a method for recognition purpose. This paper introduced an
efficient technique for offline signature recognition depending on extracting the local feature by utilizing the haar wavelet subbands and energy. Three different sets of features are utilized by partitioning the signature image into non overlapping blocks where different block sizes are used. CEDAR signature database is used as a dataset for testing purpose. The results achieved by this technique indicate a high
performance in signature recognition.

Zinah S. Abduljabbar, Zainab J. Ahmed, Noor Khalid Ibrahim

DOI: 10.12928/TELKOMNIKA.v18i6.17069

Universitas Ahmad Dahlan

October 2020

Sri Wahyuni

ISSN: 1693-6930

http://journal.uad.ac.id/index.php/TELKOMNIKA

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TELKOMNIKA Telecommunication, Computing, Electronics and Control