The Use of Scale‐Invariance Feature Transform Approach to Recognize and Retrieve Incomplete Shoeprints

Shoeprints left at the crime scene provide valuable information in criminal investigation due to the distinctive patterns in the sole. Those shoeprints are often incomplete and noisy. In this study, scale‐invariance feature transform is proposed and evaluated for recognition and retrieval of partial and noisy shoeprint images. The proposed method first constructs different scale spaces to detect local extrema in the underlying shoeprint images. Those local extrema are considered as useful key points in the image. Next, the features of those key points are extracted to represent their local patterns around key points. Then, the system computes the cross‐correlation between the query image and each shoeprint image in the database. Experimental results show that full‐size prints and prints from the toe area perform best among all shoeprints. Furthermore, this system also demonstrates its robustness against noise because there is a very slight difference in comparison between original shoeprints and noisy shoeprints.     

Reducing crime by remediating vacant lots: the moderating effect of nearby land uses

Journal of Experimental Criminology - Place-based blight remediation programs have gained popularity in recent years as a crime reduction approach. This study estimated the impact of a citywide...     

Financial inclusion and green economic performance for energy efficiency finance

Economic Change and Restructuring - Financial inclusion is fundamental for increasing the nation’s performance and green economy has emerged as one of the dominant factors to ecological...     

Life domains and crime: A test of Agnew's general theory of crime and delinquency

Purpose

This study presents a preliminary test of Agnew's general theory of crime and delinquency. This study examines whether each of the five life domain variables at the core of Agnew's theory is related to recidivism, whether there is a non-linear relationship between the life domains and recidivism, and whether the five life domains interact in causing recidivism.

Methods

Data were derived from the baseline survey of the Maryland Boot Camp Experiment and through a criminal records check conducted by the Maryland Department of Public Safety.

Results

Overall, the results lend weak support for Agnew's general theory. In particular, only two of the five life domains, having a bad job and being a high school dropout, are significantly correlated with recidivism. Further, with the exception of the peers domain, there is neither a linear nor a non-linear relationship between the life domains and recidivism. The results also reveal that none of the two-way bivariate interactions are significant in a multivariate linear probability model.

Conclusions

Although our findings are not supportive of Agnew's (2005) general theory of crime, the theory contains many other implications that we simply did not have the data to address.     

Rent-seeking and economic governance in the structural nexus of corruption in China

This article examines the sources of widespread rent-seeking practices and their relations to corruption in China. It argues that rent-creation and seeking are difficult to eliminate because they have become institutionalized as the constitutive parts of economic governance. Using case studies drawn from a number of industrial sectors, this study shows that the creation and allocation of economic rents has become a major policy instrument used by various levels of governments to manoeuvre industrial plans and development priorities. At the same time, the discretionary power exercised by state agents in implementing development priorities has created mounting opportunities for exchanging rents with bribes. The result is a structural nexus between economic governance, rent-seeking and corruption that defy administrative measures aiming at achieving a clean government in China. This study is part of a research project on the Politics of Rent-seeking and Economic Privileges in China. The project is funded by the Royal Netherlands Academy of Arts and Sciences and supported by the Chinese Ministry of Education.

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