International Journal of Science and Modern Engineering (IJISME)
Off-Line signature is a behavioral biometric trait and is widely accepted for personal and document authentication. In this paper, the authors propose Concatenation of Spatial and Transformation Features for Off-Line signature Identification (CSTSI) method to distinguish genuine signature form skilled forgery signatures. The Discrete Wavelet Transform (DWT) is applied on signature to derive transform domain features from all the four sub bands. The signature is preprocessed and global features are extracted leads to spatial domain features. The transform domain and spatial domain features are concatenated to obtain final set of features.