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In this contribution, we discuss specific aspects of patterns appearing in a humanized context (as for example in computational security or forensics) and that are not well reflected in a pure feature-classification framework. Gestalt laws are considered as a more appropriate way to approach these aspects, but then, we would merely focus on an empiricial description of matter, where models are needed...
Physical security has become one of the most important issues worldwide due to the spreading global use of explosives and illicit drugs. Under this social background, we started developing real-time monitoring technologies based on mass spectrometry for physical security applications. In these technologies, a sample gas is continuously introduced into an ion source and analyzed by a mass spectrometer...
Questioned document examination is extensively used by forensic specialists for criminal identification. This paper presents a writer recognition system based on contour features operating in identification mode (one-to-many) and working at the level of isolated characters. Individual characters of a writer are manually segmented and labeled by an expert as pertaining to one of 62 alphanumeric classes...
We consider personal identification using stroke order variations of online handwritten character patterns, which are written on, e.g., electric tablets. To extract the stroke order variation of an input character pattern, it is necessary to establish the accurate stroke correspondence between the input pattern and the reference pattern of the same category. In this paper we compare five stroke correspondence...
This paper proposes a novel seal imprint verification method with difference image based statistical feature extraction and symbolic representation based classification. After several image processing procedures including seal imprint extraction and seal registration with the model seal imprint, the statistical feature was extracted from difference images for the pattern classification system of seal...
Dental information is useful for personal identification. In this paper, a method for extracting three-dimensional shape of a tooth automatically from dental CT images is proposed. In the previous method, one of the main issue is the mis-extraction of the adjacent region caused by the similarity of feature between a tooth and its adjacent teeth or the surrounding alveolar bone. It is important to...
A number of biometric characteristics exist for person identity verification. Each biometric has its strengths. However, they also suffer from disadvantages, for example, in the area of privacy protection. Security and privacy issues are becoming more important in the biometrics community. To enhance security and privacy in biometrics, cancellable biometrics have been introduced. In this paper, we...
Footwear impression evidence has been gaining increasing importance in forensic investigation. The most challenging task for a forensic examiner is to work with highly degraded footwear marks and match them to the most similar footwear print available in the database. Retrieval process from a large database can be made significantly faster if the database footwear prints are clustered beforehand....
In this paper, we estimated the number of inkjet printer spur gear teeth from shorter pitch data strings than previous study by fixing the order in maximum entropy method (MEM). The purpose of this study is to improve the efficiency of inkjet printer model identification based on spur mark comparison method (SCM) in the field of forensic document analysis. Experiments were performed using two spur...
We proposed the new method that detected indentations pressed by pen tip force on paper using an oblique near infrared (NIR) emitting by light emitting diodes (LEDs). According to conventional methods indentations were observed by document examiners’ eyes using a microscope. However it is difficult to estimate depths of the indentations because human eyes only can observe shades and brightness made...
Copyright protection of image publications is an important task of forensics. In this paper, we focus on line drawings, which are represented by lines in monochrome. Since partial copies and similar copies are always applied in plagiarisms of line drawings, we propose combining the technique of object detection and image retrieval to detect similar partial copies from suspicious images: first, detecting...
The paper presents a methodology for mobile forensics analysis, to detect “malicious” (or “malware”) applications, i.e., those that deceive users hiding some of their functionalities. This methodology is specifically targeted for the Android mobile operating system, and relies on its security model features, namely the set of permissions exposed by each application. The methodology has been trained...
Many digital image forensics techniques using various fingerprints which identify the image source are dependent on data on digital images from an unknown environment. As often software modifications leave no appropriate traces in image metadata, critical miscalculations of fingerprints arise. This is the problem addressed in this paper. Modeling information noise, we introduce a statistical approach...
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