Legendre polynomials based feature extraction for online signature verification. Consistency analysis of feature combinations

Highlights：

• A feature extraction approach based on Legendre series representation of the time functions associated with the signatures is proposed.

• A consistency factor is proposed to quantify the discriminative power of different combinations of the time functions.

• The correlation between the proposed consistency factor and the verification performance of a feature combination is analyzed.

• A recent signature database, containing Western and Chinese signatures is used. The verification performance is quantified based on log-likelihood ratios.