IH&MMSEC

We examine the universal pooled steganalyzer of in two respects. First, we confirm that the method is applicable to a number of different steganographic embedding methods. Second, we consider the converse problem of how to spread payload between ...

Modern steganalysis can be incredibly sensitive and accurate, but only in an artificial setting in which the training data is from the exact same image source as the data being tested. When faced with mismatched training data, performance degrades, ...

Non-blind watermark detection is still relevant in some applications e.g. traitor tracing. In this case, the auxiliary metadata sent to the detector reveals something about the original content. In this paper, we investigate whether such side-...

To trace back copyright infringements, digital transaction watermarking today is a widely accepted method. Here, copies of a single work are individualized by embedding userspecific watermark messages. However, transaction watermarking is vulnerable to ...

One of the major problems concerning latent fingerprint matching in forensic applications is the poor quality of fingerprint data. Therefore, local quality assessment of fingerprint images is necessary to ensure high biometric performance in this ...

Determining the age of latent fingerprints found at crime scenes is a very pressing, yet so far unresolved challenge in forensics. Recently, a first aging feature called binary pixel has been introduced, based on the loss of image contrast of ...

Lockpicking forensics is currently a completely manual process, which requires a lot of skill as well as training and is therefore time-consuming as well as expensive. In this paper we make a first move to transfer the most crucial part of this specific ...

One main goal of today's forensic textile fiber analysis is the classification of fiber traces. This can be achieved by forensic experts in manual analysis with the help of microscopy. However, this examination process, including an optical matching, is ...

The application of non-invasive optical 3D sensing technology for the acquisition of toolmarks and forensic traces from projectiles and cartridges is currently an emerging field of research. In this work we will present a first taxonomy of possible ...

By offering personalized content to users, recommender systems have become a vital tool in e-commerce and online media applications. Content-based algorithms recommend items or products to users, that are most similar to those previously purchased or ...

We propose a new method to encrypt baseline JPEG bit streams by selective Huffman code word swapping and coefficient value scrambling based on AES encryption. Furthermore, we show that our approach preserves the length of the bit stream while being ...

Speech signals convey information not only for speakers' identity and the spoken language, but also for the acquisition devices used during their recording. Therefore, it is reasonable to perform acquisition device identification by analyzing the ...

We propose a universal counter-forensic technique for concealing traces left on the image histogram by any processing tool. Under the assumption that the forensic analysis relies on first-order statistics only (which is true in many practical ...

We present a novel algorithm for discriminating pornographic and assorted benign images, each categorized into semantic subclasses. The algorithm exploits connectedness and coherence properties in skin image regions in order to capture alarming Regions ...

Although sensor noise is generally known as a very reliable means to uniquely identify digital cameras, care has to be taken with respect to camera model characteristics that may cause false accusations. While earlier reports focused on so-called linear ...

Any individual's biometric data are likely to change with the passage of time and, as a result, developing biometric applications for long-term use is a challenging task. One of the factors which increases the challenge of dealing with ageing effects in ...

The characteristics of surveillance video generally include low-resolution images and blurred images. Decreases in image resolution lead to loss of high frequency facial components, which is expected to adversely affect recognition rates. Super ...

Exemplar fingerprints captured directly from a finger are used in biometric systems for authentication purposes. If the quality of the captured image is insufficient for extracting biometric features, it can be easily captured again. In forensics latent ...

Gait recognition systems often suffer from the challenges when query gaits are under the coupled effects of unknown view angles and large intra-class variations (e.g., wearing a coat). In this paper, we deem it as a two-stage classification problem, ...

Automatic human recognition systems based on biometrics are becoming increasingly popular in today's world. In particular, gait recognition (i.e., recognition based on the peculiar manner of walking) is especially interesting since it allows the ...

Among the possible applications of computer vision to video-surveillance, person re-identification over a network of camera sensors, using cues related to clothing appearance, is gaining much interest. Re-identification techniques can be used for ...

The aim of fingerprint liveness detection is to detect if a fingerprint image, sensed by an electronic device, belongs to an alive fingertip or to an artificial replica of it. It is well-known that a fingerprint can be replicated and standard electronic ...

Remote health-care applications are gaining popularity as an alternative for patients who do not require hospitalization. In this setting, privacy preserving protocols are useful to enable the offering of personalized online services, thus preventing ...