Offline signature verification using classifier combination of HOG and LBP features

We present an offline signature verification system based on a signature’s local histogram features. The signature is divided into zones using both the Cartesian and polar coordinate systems and two different histogram features are calculated for each zone: histogram of oriented gradients (HOG) and histogram of local binary patterns (LBP). The classification is performed using Support Vector Machines (SVMs), where two different approaches for training are investigated, namely global and user-dependent SVMs. User-dependent SVMs, trained separately for each user, learn to differentiate a user’s signature from others, whereas a single global SVM trained with difference vectors of query and reference signatures’ features of all users, learns how to weight dissimilarities. The global SVM classifier is trained using genuine and forgery signatures of subjects that are excluded from the test set, while userdependent SVMs are separately trained for each subject using genuine and random forgeries. The fusion of all classifiers (global and user-dependent classifiers trained with each feature type), achieves a 15.41% equal error rate in skilled forgery test, in the GPDS-160 signature database without using any skilled forgeries in training

Camera-based Image Forgery Localization using Convolutional Neural Networks

Camera fingerprints are precious tools for a number of image forensics tasks. A well-known example is the photo response non-uniformity (PRNU) noise pattern, a powerful device fingerprint. Here, to address the image forgery localization problem, we rely on noiseprint, a recently proposed CNN-based camera model fingerprint. The CNN is trained to minimize the distance between same-model patches, and maximize the distance otherwise. As a result, the noiseprint accounts for model-related artifacts just like the PRNU accounts for device-related non-uniformities. However, unlike the PRNU, it is only mildly affected by residuals of high-level scene content. The experiments show that the proposed noiseprint-based forgery localization method improves over the PRNU-based reference

The Old Bailey proceedings and the representation of crime and criminal justice in eighteenth-century London

The Proceedings of the Old Bailey, published accounts of felony trials held at London’s central criminal court, were a remarkable publishing phenomenon. First published in 1674, they quickly became a regular periodical, with editions published eight times a year following each session of the court. Despite the huge number of trial reports (some 50,000 in the eighteenth century), the Proceedings, also known as the “Sessions Papers”, have formed the basis of several important studies in social history, dating back to Dorothy George’s seminal London Life in the Eighteenth Century (1925). Their recent publication online, however, has not only made them more widely available, but also changed the way historians consult them, leading to greater use of both quantitative analysis, using the statistics function, and qualitative examination of their language, through keyword searching. In the context of recent renewed interest in the history of crime and criminal justice, for which this is the most important source available in this period, the growing use of the Proceedings raises questions about their reliability, and, by extension, the motivations for their original publication. Historians generally consider the Proceedings to present accurate, if often incomplete, accounts of courtroom proceedings. From this source, along with manuscript judicial records, criminal biographies (including the Ordinary’s Accounts), polemical pamphlets such as Henry Fielding’s Enquiry into the Causes of the Late Increase of Robbers (1751), and of course the satirical prints of William Hogarth, they have constructed a picture of eighteenth-century London as a city overwhelmed by periodic crime waves and of a policing and judicial system which was forced into wide-ranging reforms in order to meet this challenge

About intellectual forgery in romanian accounting law

Although it is the only criminal offence stipulated by accounting law, forgery foreseen by article 43 of Accounting Law no. 82/1991, republished, represents a special variant of the criminal offence foreseen by article 289 of the Criminal Code, and, in this context, we discuss about a text conjuncture and not about a conjuncture of criminal offences. The provisions of the Criminal Code will be mentioned only as regards the applicable penalty (6 months to 5 years). Article 43 contains an incrimination specific to the area covered by the special law, and the description of the elements of criminal offence is complete.accounting, intellectual false, true and fair view, crime

Quantum Money with Classical Verification

We propose and construct a quantum money scheme that allows verification through classical communication with a bank. This is the first demonstration that a secure quantum money scheme exists that does not require quantum communication for coin verification. Our scheme is secure against adaptive adversaries - this property is not directly related to the possibility of classical verification, nevertheless none of the earlier quantum money constructions is known to possess it