The problem of automatic signature recognition has received little attention in comparison
with the problem of signature verification despite its potential applications for accessing …

On-line handwriting recognition systems are usually better than their off-line counterparts
thanks to the accessibility of dynamic information such as stroke order, velocity, acceleration …

This paper describes a combined behavioral techniques based on speech and signature
biometrics modalities. Fusion of multiple biometric modalities for human verification …

Off-line signature verification methods have to tackle with a number of high resolution
images, therefore it is vital to use efficient image processing algorithms. This paper proposes …

This paper presents a comparative analysis of the performance of three estimation
algorithms: Expectation Maximization (EM), Greedy EM Algorithm (GEM) and Figueiredo …

This paper presents a novel approach to Off-line Signature Verification based on Gaussian
empirical rule. The verification module extracts global and local features from the training …

MODELS AND ALGORITHMS IN OFF-LINE, FEATURE-BASED, HANDWRITTEN
SIGNATURE VERIFICATION Page 1 MODELS AND ALGORITHMS IN OFF-LINE, FEATURE-BASED …

This paper proposes a stroke extraction method for use in off-line signature verification. After
giving a brief overview of the current ongoing researches an algorithm is introduced for …

Los métodos computacionales para procesar imágenes para el reconocimiento estático de
firmas, utilizan algoritmos para obtener las características cuantitativas, tales como la …

Handwritten signatures are behavioural biometric traits that are known to incorporate a
considerable amount of intra-class variability. The Hidden Markov Model (HMM) has been …