Binary Biometric Representation through Pairwise Adaptive Phase Quantization

Extracting binary strings from real-valued biometric templates is a fundamental step in template compression and protection systems, such as fuzzy commitment, fuzzy extractor, secure sketch, and helper data systems. Quantization and coding is the straightforward way to extract binary representations from arbitrary real-valued biometric modalities. In this paper, we propose a pairwise adaptive phase quantization (APQ) method, together with a long-short (LS) pairing strategy, which aims to maximize the overall detection rate. Experimental results on the FVC2000 fingerprint and the FRGC face database show reasonably good verification performances.\ud \u

Does property rights protection affect corporate risk management strategy? Intra- and cross-country evidence

Recent studies in the law and finance literature have shown that property rights protection is central to corporate financing and investment decisions and economic growth at large. We extend this literature by examining the effect of property rights security on corporate risk management decisions - an important element of a firm's business strategy. Using a unique dataset covering over 55,000 Chinese firms and employing both institution- and firm-level measures of property rights security, we find that secure property rights lead to higher corporate demand for property insurance, suggesting that property rights security is an important determinant of corporate risk management decisions. The effect of property rights protection on insurance consumption is also validated by a cross-country analysis that uses data from 93 countries over the period 1995-2008. Our study sheds light on the importance of property rights protection to corporate risk management decisions. © 2011 Elsevier B.V.preprin