Abstract:
The invention describes an interactive computer system and methods for the acquisition and processing of biokinetic information associated to the signature, aiming to assess the authenticity of dynamic handwritten signature. The invention has applicability in the field of behavioral biometrics, when there is user interest to validate his will by a handwritten signature. The system comprises an electronic pen (1), functionally integrated with a personal computer (2) for the acquisition and processing the signals associated to the signatures, which can be network connected togheter with other personal computers (2), each one having connected as peripherals an electronic pen (1) that comprises two groups of inertial accelerometers MEMS (A), (B), to capture the kinetic data and also data about contact microvibrations with the writing support, one optical self-referential navigation sensor (ONS), to capture the series of data pairs (d x , d y ), as momentary movements necessary in the reconstruction of pen's trajectory and which, together with kinetic data (a x, a y, b x, b y ) captured by the set of inertial sensors MEMS (A) and (B), represents personal computer (2) input data for sensorial fusion processing and also for creating the conditions to extract the information from the sensorial and psychomotric representation of the user's perspective. The method for assessing the authenticity of dynamic handwritten signature consists, on the one hand, of a first stage of calligraphic reconstruction and visualization of writing thickness and, on the other hand, of applying various conversions and comparisons of a x , a y, b x, b y, d x, d y signals associated to the signatures in order to assess their authenticity.
Abstract:
The invention describes an interactive computer system and methods for the acquisition and processing of biokinetic information associated to the signature, aiming to assess the authenticity of dynamic handwritten signature. The invention has applicability in the field of behavioral biometrics, when there is user interest to validate his will by a handwritten signature. The system comprises an electronic pen (1), functionally integrated with a personal computer (2) for the acquisition and processing the signals associated to the signatures, which can be network connected togheter with other personal computers (2), each one having connected as peripherals an electronic pen (1) that comprises two groups of inertial accelerometers MEMS (A), (B), to capture the kinetic data and also data about contact microvibrations with the writing support, one optical self-referential navigation sensor (ONS), to capture the series of data pairs (dx, dy), as momentary movements necessary in the reconstruction of pen's trajectory and which, together with kinetic data (ax,ay, bx, by) captured by the set of inertial sensors MEMS (A) and (B), represents personal computer (2) input data for sensorial fusion processing and also for creating the conditions to extract the information from the sensorial and psychomotric representation of the user's perspective. The method for assessing the authenticity of dynamic handwritten signature consists, on the one hand, of a first stage of calligraphic reconstruction and visualization of writing thickness and, on the other hand, of applying various conversions and comparisons of ax, ay, bx, by, dx, dy signals associated to the signatures in order to assess their authenticity.
Abstract:
The invention describes an interactive computer system and methods for the acquisition and processing of biokinetic information associated to the signature, aiming to assess the authenticity of dynamic handwritten signature. The invention has applicability in the field of behavioral biometrics, when there is user interest to validate his will by a handwritten signature. The system comprises an electronic pen (1), functionally integrated with a personal computer (2) for the acquisition and processing the signals associated to the signatures, which can be network connected togheter with other personal computers (2), each one having connected as peripherals an electronic pen (1) that comprises two groups of inertial accelerometers MEMS (A), (B), to capture the kinetic data and also data about contact microvibrations with the writing support, one optical self-referential navigation sensor (ONS), to capture the series of data pairs (dx, dy), as momentary movements necessary in the reconstruction of pen's trajectory and which, together with kinetic data (ax,ay, bx, by) captured by the set of inertial sensors MEMS (A) and (B), represents personal computer (2) input data for sensorial fusion processing and also for creating the conditions to extract the information from the sensorial and psychomotric representation of the user's perspective. The method for assessing the authenticity of dynamic handwritten signature consists, on the one hand, of a first stage of calligraphic reconstruction and visualization of writing thickness and, on the other hand, of applying various conversions and comparisons of ax, ay, bx, by, dx, dy signals associated to the signatures in order to assess their authenticity.
Abstract:
The invention refers to a computer-based system for the acquisition, analysis, and authentication of the handwritten signature. The person that performs a handwritten signature performs a series of three-dimensional movements with a plane graphical finality. The movements generate kinetic information perceived by the special pen that the signature is performed with (the writing and digital acquisition device for the primary bio-kinetic information). The information, concordant to the afferent bio-kinetic pattern, is collected by the included MEMS type acceleration sensors in the pen. The system continues to analyze the generated information (the signals) and it determines the dynamic-biometrical characteristics, based upon the biometrical dimension of the information. The characteristics are transformed in data vectors and invariants that are stored in a database. Based on algorithm type methods, the system performs the required comparisons between the spatial kinetics of the specimens and the kinetics of the entrances and obtains distance-type answers. In statistical terms, the results are related to the entire subject database, by interpreting and sampling methods.