Application of noise tolerant code to biometric data to verify the authenticity of transmitting information

Methods of Generating Key Sequences Based on Parameters of Handwritten Passwords and Signatures

“…Some authors [4,6] have proposed the use of 16 normalized amplitudes of the first lowest-frequency harmonics as attributes at users' identification.…”

“…The authors of the present study have proposed the signature attributes based on the correlative analysis for signees' identification [4,6]. Values of the correlation coefficients between x(t), y(t), and p(t) functions of the signature and their first-order derivatives are used as attributes.…”

“…If users are authenticated by biometric characteristics, the issue of protecting biometric data kept at a remote server then becomes important [6].…”

Personal Identification and the Assessment of the Psychophysiological State While Writing a Signature

“…For the given experiment the slope angle (a lateral angle and a pen elevation angle) is not taken into account. The block number 6 contains 47 informative features described in [24]. As biometrical features we recommend to use amplitude ranges of a pen velocity function on a tablet surface V xy(t) and a pen pressure function on a tablet surface p(t) scaled to energy (calculated using the Fourier transform), and correlation coefficients for functions x(t), y(t), p(t) of a handwritten password and their derivatives.…”

“…Thus, the number of personal characteristics (N ) obtaining from a handwritten password is 47 (N = 47, a number of amplitudes of low-frequency harmonics of the V xy(t) function is 16, a number of amplitudes of low-frequency harmonics of the p(t) function is 16, a number of correlation coefficients is 15). All described features have a near-normal distribution [24]. Therefore a certain number of signatures is necessary to input and a parameter of the normal law of distribution (expectancy and root-mean-square deviation) should be calculated for every feature values to create a template in any psychophysiological state.…”