ABSTRACT
Biometrics are the among most popular authentication methods due to their advantages over traditional methods, such as higher security, better accuracy and more convenience. The recent COVID-19 pandemic has led to the wide use of face masks, which greatly affects the traditional face recognition technology. The pandemic has also increased the focus on hygienic and contactless identity verification methods. The forearm is a new biometric that contains discriminative information. In this paper, we proposed a multimodal recognition method that combines the veins and geometry of a forearm. Five features are extracted from a forearm Near-Infrared (Near-Infrared) image: SURF, local line structures, global graph representations, forearm width feature and forearm boundary feature. These features are matched individually and then fused at the score level based on the Improved Analytic Hierarchy Process-entropy weight combination. Comprehensive experiments were carried out to evaluate the proposed recognition method and the fusion rule. The matching results showed that the proposed method can achieve a satisfactory performance.
ABSTRACT
Climate change mitigation (CCM) has not been mainly understood and assessed in the terms of carbon drifts persisting at provincial level of China, and to respond the question that how green financing is better financing option for CCM. Thus, our study intends to test the role of green finance on carbon drifts to manage for the mitigation of climate change. For this, unit root test and panel co-integration technique is applied. Study findings reported that the intricate connection between place-and-time-specific GHG emission reduction responsibilities is significant with 18% and the 'production', trading and consumption of carbon allowances with 21% and offsets across vast time-space stretches related carbon drift is significant with 19.5% for climate change mitigation. For such significance, green financing is found imperative indicators which is significant at 27.1% with carbon drifts, and mitigates the climate change with 31.3%, which is, relatively high than usual climate change control practices. Our study also provides detailed policy implication on this topicality for associated stakeholder.