Non-Invertible Secure Template Generation for Online Signature Verification
Deepika,  Parvinder Kaur
Handwritten signature is the most widely accepted biometric to identity verification. The proposed online handwritten signature verification system consists mainly of three phases: Signal preprocessing, feature extraction, and feature matching. Steps for verifying online handwritten signature in this system start with extracting dynamic data (x and y positions) of points that forming the signature. Pen-movement angles and speed are then derived from pen position data. To reduce variations in pen-position and pen-movement angles dimensionality, data is normalized. After that all the parameters are to be put in a single vector. Here in the proposed system five parameters are taken in to account. Features of the signature can be extracted using proposed feature extraction method. Corresponding to every signature a unique feature will be extracted and this will be quantized using quantization step size vector. Both the feature vector and quantization vector are to be stored using template generator. Further, the templates are transformed using a secure non-invertible transform for maximum security by using partial hadamard transform. Finally the results will be generated to verify the proposed work.
Keywords- Online signature, biometrics, template security, non-invertible transform, hadamard matrix.
Cite this Article
Deepika,  Parvinder Kaur,   "Non-Invertible Secure Template Generation for Online Signature Verification"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.968-973, May 2016, Available at :http://www.ijedr.org/papers/IJEDR1602169.pdf