This thesis focuses on biometric verification of subjects based on saccadic eye movements. Verification corresponds to two-class classification to recognize an authenticated user and to classify other subjects as impostors. Compared with other biometric signals or data, the possible advantages of eye movements can be as follows: harder to imitate, easier processing and faster computation. The thesis describes a procedure to use variables of saccade eye movements recorded. It analyses the variabilities between electro-oculography (EOG) and video-oculography (VOG) signals: i.e. eye movements were recorded with skin electrodes or with two special video cameras.