An Offline Signature Verification Method Using Pressure Characteristics

utilize the writer’s name without prior knowledge of the writer’s style) detection (e.g., see [7]). But the We introduce an effective approach for offline verifiskilled forgeries, often subclassified into traced and cation of signatures where the forgeries are skillfully simulated forgeries, involve attempting to mimic the done, i.e., the true and forgery sample appearances are style of the writer and thus can be difficult to detect almost alike. Subtle details of temporal information with only these static features. The main problem used in online verification are not available offline and comes in designing a feature extraction method which are also hard to recover robustly. Thus we take help gives stable features for the genuine signatures deof the spatial dynamic information like the pen-tip spite their inevitable variations, and salient features pressure characteristics and emphasize on the extracfor the forgeries even if the imitations are skillfully tion of low pressure points. The points result from done. Even though a genuine writer would never prothe ballistic rhythm of a genuine signature which a duce the exact same signature twice and many factors forgery, however skillful that may be, always lacks. can affect signatures and other handwriting includTen effective features along with low pressure points ing injuries, illness, temperature, age and emotional and pressure multiplication ratio are proposed to make state as well as external factors such as alcohol and the distinction between a true and a forgery sample. drugs [3], an original signature has many natural perThree different threshold values are also derived for sonal characteristics like cursiveness, ballistic rhythm better verification judgements. etc. But a forgery, however skillful it may be, always lacks this rhythm and has poor line quality. Hence the features to provide efficient basis for verification