Fusion of Finger-Knuckle-Print and Palmprint for an Efficient Multi-Biometric System of Person Recognition

Discriminative common vector based finger knuckle recognition

“…They have recently received considerable attention. According to the ''method and system for identifying a person using their finger joint print'' patent [7] and FKP-based biometric recognition studies [1][2][3][4][5][6]8,[10][11][12][13][14][15][16], the unidirectional bending of the fingers generates unique pattern formations on the finger surface joining the proximal phalanx and middle phalanx bones and these patterns contain useful information that is capable of uniquely identifying the identity of an individual [4,5]. The existing FKP-based biometric recognition studies are summarized in Table 1.…”

“…Hand-based biometrics including identifiers such as the fingerprint, hand geometry, hand vein, innerknuckle-print, palm print and finger knuckle print (FKP) have attracted considerable attention from researchers in recent years. As they are reliable, low-cost and user-friendly viable solutions to personal authentication, most of these approaches have been well investigated in the literature [1][2][3]. Hand-based biometric systems also have several advantages over other techniques.…”

“…Hand-based biometric systems also have several advantages over other techniques. These systems include simple and economical data acquisition capabilities, suitability for both indoor and outdoor usage, including use and availability in extreme weather and varying lighting conditions, and the stability of the hand features over time; these features make them the most user-friendly techniques in the biometrics field [2,3]. Although hand-based systems have all these advantages for large scale personal authentication, their usage requires further research to explore additional features that can be simultaneously extracted from hand images [4].…”

Multimodal Feature Learning for Gait Biometric Based Human Identity Recognition

“…To conform to these recommendations; often there is a need to combine multiple physiological and behavioral biometric cues, leading to so called multimodal biometric identification system. While most behavioral biometrics are not unique enough to provide reliable human identification they have been proved to be sufficiently high accurate [5,6]. Gait, is a similar powerful behavioral biometric, but as a single mode, on its own, it cannot be considered as a strong biometric to identify a person.…”

Multi-view Multi-modal Gait Based Human Identity Recognition from Surveillance Videos

“…Behavioral data often does not require any special hardware (other than low cost off the shelf surveillance camera). While most behavioral biometrics are not unique enough to provide reliable human identification they have been proved to be sufficiently high accurate [5,6]. Gait, is a powerful behavioral biometric, but as a single mode, on its own it cannot be considered as a strong biometric to identify a person.…”