Signature Recognition Based on Discrete Wavelet Transform


  • Sivana Salahadin Muhamad University of Human Development, College of Science and Technology, Department of Computer Science, Sulaymaniyah, Iraq
  • Muzhir Shaban Al-Ani University of Human Development, College of Science and Technology, Department of Information Technology, Sulaymaniyah, Iraq



Biometrics System, Off-line Signature Recognition, Feature Extraction, Discrete Wavelet Transform


Personal identification is an actively developing area of research. Human signature is a vital biometric attribute which can be used to authenticate human identity. There are many approaches to recognize signature with a lot of researches. The aim of this research is to introduce an efficient approach for signature recognition. This approach starts with the process the acquired signatures and stores these signatures in the database to be ready for verification. The collection of signature data based on collecting samples of 10 people and 10 signatures for each person through traditional ink stamp method. These signatures are digitized to be ready for processing. Many steps are applied to the acquired images to perform the pre-processing stage. The proposed approach based on discrete wavelet transforms to extract significant features from each signature image. Pre-processing is applied at the beginning of this approach to avoid any unwanted noise. This approach consists of many steps: Data acquisition, pre-processing, signature registration, and feature extraction. High recognition rate results (100%) are obtained through applying this approach.


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How to Cite

Muhamad, S. S., & Al-Ani, M. S. (2019). Signature Recognition Based on Discrete Wavelet Transform. UHD Journal of Science and Technology, 3(1), 19–29.




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