Tomasz Marciniak

Influence of low resolution of images on reliability of face detection and recognition

In this paper we analyze reliability of the real-time system for face detection and recognition from low-resolution images, e.g., from video monitoring images. First, we briefly describe main features of the standards for biometric face images. Available scientific databases have been checked for compliance with these biometric standards. During the research we have considered both the correctness of extraction (location) of the face from the image as well as the correctness of the identification (based on the eigenfaces approach). To the tests we have used the face databases that allow to study tolerance to illumination and face positions. We have compared various face detection techniques and analyzed minimum requirements for the resolution of facial images. Finally, an influence of the resolution reduction on the FAR/FRR of the recognition is presented.

Selection of parameters in iris recognition system

This paper presents the detailed analysis of implementation issues occurred during preparation of the novel iris recognition system. First, we shortly describe the currently available acquisition systems and databases of iris images, which were used for our tests. Next, we concentrate on the feature extraction and coding with the execution time analysis. Results of the average execution time of loading the image, segmentation, normalization, and feature encoding, are presented. Finally, DET plots illustrate the recognition accuracy for IrisBath database.

Energy Greedy Protocol Suite for Smart Grid Communication Systems Based on Short Range Devices

In this paper, we present new communication protocol, named energy greedy quasi-flooding protocol. This protocol is independent from a communication media types and is mainly intended for PLC, UHF wireless and even IrDA transmission techniques. Presented solutions can be applied to EMSs based on the inexpensive SRDs, they are also suite for smart grid technologies based on hybrid networks e. g. PLC together with the wireless.

Detection of GSM speech coding for telephone call classification and automatic speaker recognition

This paper presents results of our research on automatic telephone call speaker recognition. A significant improvement of recognition quality can be observed if we use the knowledge on how the original speech was coded, e.g., using GSM or PCM telephone standard. On this basis we can improve the quality of the speaker models. In order to realize such a speech analyzer we propose to analyze the mean square error of the transcoded speech.

Face Recognition from Low Resolution Images

This paper describes an analysis of the real-time system for face recognition from video monitoring images. First, we briefly describe main features of the standards for biometric face images. Available scientific databases have been checked for compliance with these biometric standards. Next, we concentrate on the analysis of the prepared face recognition application based on the eigenface approach. Finally, results of our face recognition experiments with images of reduced resolution are presented. It turned out that the proposed and tested algorithm is quite resistant to changing the resolution. The recognition results are acceptable even for low-resolution images (16×20 pixels).

Analysis of speech separation for ASR systems

This work presents some aspects concentrated on improving quality of the voice input signal for automatic speech recognition (ASR) systems. It is clear that proper separation of the desired voice from disturbances improves the recognition performance. We have tested the independent component analysis (ICA) infomax algorithm applied to the separation of isolated words. Detection of Polish words (commands used for the remote voice control of a robot) was tested using the dynamic time warping (DTW) approach.

Usage of Digital Image Correlation in Analysis of Cracking Processes

Abstract In this paper, the analysis of the possibilities of using Digital Image Correlation (DIC) based on Graphics Processing Unit (GPU) for strain analysis in fatigue cracking processes is presented. The basic assumption for the discussed displacement and strain measurement method under time variable loads was obtaining high measurement sensitivity by simultaneously minimizing the measurement time consumption. For this purpose special computing procedures based on multiprocessor graphic cards were developed, which significantly reduced the total time of displacement and strain analysis. The developed digital procedure for correlation of images has been used for an example of displacement analysis in the method of fatigue crack propagation testing in airplane riveted joints. In this paper are presented the results of the researches of the team run by professor Antoni Zabłudowski

Describing N2R Properties Using Ideal Graphs

N2R structures are a subset of Generalized Petersen Graphs and a potentially good option to be used for implementing degree three networks. The previous works on these structures verify that N2R are better than other degree three regular topologies such as Double Rings or Honeycomb in terms of path distances. The cost of this good performance is a more complex and non-planar interconnection configuration; It is complex to find analytical models to be used, for example for describing topological parameters. This paper proposes and verifies the possibility of approximating real N2R graphs to optimal and ideal graphs, which are much easier to model, obtaining fairly accurate results. A main result of the paper is a simple formula for approximating average distance and diameter given the number of nodes in a N2R graph.

Bluetooth technology applications dedicated to supporting blind and hearing as well as speech handicapped people

In this paper a concept of using the Bluetooth wireless telecommunication system for the construction of devices supporting blind, hearing impaired, and speech handicapped people is presented. People of the third considered class can be mute from infancy or their speech organs can be disordered after larynx surgical operations. Various possibilities of the Bluetooth technology applications in supporting patients with the disfunctions mentioned above are discussed and developed. One of the suggested solutions - a prototype speech-aid system - is described in detail

Improving of Speaker Identification from Mobile Telephone Calls

The paper examines issues related to proper selection of models used for quick speaker recognition based on short recordings of mobile telephone conversations. A knowledge of the encoder type used during the transmission of speech allows to apply an appropriate model that takes specific characteristics of the encoder into account: full rate (FR), half rate (HR), enhanced full rate (EFR) and adaptive multi-rate (AMR). We analyse both proper model selection and automatic silence removal. Analysis of time of processing is also a part of this study.