Using multi-matching system based on a simplified deformable model of the human iris for iris recognition

1 Introduction Iris recognition technology is based on the stableand distinctive iris patterns, and has attracted a lot ofattention recently. Nowadays it has become a most im-portant biometric solution for personal identification. Since the 1990s, much work on iris recognition hasbeen done and great progress has been made. Some pre-dominant algorithms for iris recognition have beenproposed. Daugman generated an iris code by quantizingthe local phase angle using a set of 2-D Gabor f…     

High-security photoacoustic identity recognition by capturing hierarchical vascular structure of finger

Currently, most biometric methods mainly use single features, making them easily forged and cracked. In this study, a novel triple-layers biometric recognition method, based on photoacoustic microscopy, is proposed to improve the security of biometric identity recognition. Using the photoacoustic (PA) dermoscope, three-dimensional absorption-structure information of the fingers was obtained. Then, by combining U-Net, Gabor filtering, wavelet analysis and morphological transform, a lightweight algorithm called photoacoustic depth feature recognition algorithm (PADFR) was developed to automatically realize stratification (the fingerprint, blood vessel fingerprint and venous vascular), extracting feature points and identity recognition. The experimental results show that PADFR can automatically recognize the PA hierarchical features with an average accuracy equal to 92.99%. The proposed method is expected to be widely used in biometric identification system due to its high security.     

Reactions of male domestic chicks to two-dimensional eye-like shapes

There is considerable evidence that eye-shapes are aversive to the domestic chick but controversy remains over the relative importance of various features of the eyes in causing aversion. In this study the potency of various eye-like shapes in causing avoidance was evaluated. It was shown that monochromatic, two-dimensional eye shapes elicit avoidance and fear in young male domestic chicks, and that the eye shapes are not responded to merely as conspicuous objects. Horizontal orientation, pairedness and the presence of both an ‘iris’ and a ‘pupil’ are important recognition cues. The shape of the eye-like stimulus appears to be more important than its size. Circularity of the iris is not an essential feature but further work is necessary before conclusions can be drawn regarding the shape of the pupil although the available evidence does suggest that circularity is important.     

Banknote recognition: investigating processing and cognition framework using competitive neural network

Humans are apt at recognizing patterns and discovering even abstract features which are sometimes embedded therein. Our ability to use the banknotes in circulation for business transactions lies in the effortlessness with which we can recognize the different banknote denominations after seeing them over a period of time. More significant is that we can usually recognize these banknote denominations irrespective of what parts of the banknotes are exposed to us visually. Furthermore, our recognition ability is largely unaffected even when these banknotes are partially occluded. In a similar analogy, the robustness of intelligent systems to perform the task of banknote recognition should not collapse under some minimum level of partial occlusion. Artificial neural networks are intelligent systems which from inception have taken many important cues related to structure and learning rules from the human nervous/cognition processing system. Likewise, it has been shown that advances in artificial neural network simulations can help us understand the human nervous/cognition system even furthermore. In this paper, we investigate three cognition hypothetical frameworks to vision-based recognition of banknote denominations using competitive neural networks. In order to make the task more challenging and stress-test the investigated hypotheses, we also consider the recognition of occluded banknotes. The implemented hypothetical systems are tasked to perform fast recognition of banknotes with up to 75 % occlusion. The investigated hypothetical systems are trained on Nigeria’s Naira banknotes and several experiments are performed to demonstrate the findings presented within this work.     

A Secure and Robust Compressed Domain Video Steganography for Intra- and Inter-Frames Using Embedding-Based Byte Differencing (EBBD) Scheme

This paper presents a novel secure and robust steganographic technique in the compressed video domain namely embedding-based byte differencing (EBBD). Unlike most of the current video steganographic techniques which take into account only the intra frames for data embedding, the proposed EBBD technique aims to hide information in both intra and inter frames. The information is embedded into a compressed video by simultaneously manipulating the quantized AC coefficients (AC-QTCs) of luminance components of the frames during MPEG-2 encoding process. Later, during the decoding process, the embedded information can be detected and extracted completely. Furthermore, the EBBD basically deals with two security concepts: data encryption and data concealing. Hence, during the embedding process, secret data is encrypted using the simplified data encryption standard (S-DES) algorithm to provide better security to the implemented system. The security of the method lies in selecting candidate AC-QTCs within each non-overlapping 8 × 8 sub-block using a pseudo random key. Basic performance of this steganographic technique verified through experiments on various existing MPEG-2 encoded videos over a wide range of embedded payload rates. Overall, the experimental results verify the excellent performance of the proposed EBBD with a better trade-off in terms of imperceptibility and payload, as compared with previous techniques while at the same time ensuring minimal bitrate increase and negligible degradation of PSNR values.     

Neonatal non-contact respiratory monitoring based on real-time infrared thermography

Background

The duration of bronchoscopy examinations varies considerably depending on the diagnostic and therapeutic procedures used. It can last more than 20 minutes if a complex diagnostic work-up is included. With wide access to videobronchoscopy, the whole procedure can be recorded as a video sequence. Common practice relies on an active attitude of the bronchoscopist who initiates the recording process and usually chooses to archive only selected views and sequences. However, it may be important to record the full bronchoscopy procedure as documentation when liability issues are at stake. Furthermore, an automatic recording of the whole procedure enables the bronchoscopist to focus solely on the performed procedures. Video recordings registered during bronchoscopies include a considerable number of frames of poor quality due to blurry or unfocused images. It seems that such frames are unavoidable due to the relatively tight endobronchial space, rapid movements of the respiratory tract due to breathing or coughing, and secretions which occur commonly in the bronchi, especially in patients suffering from pulmonary disorders.

Methods

The use of recorded bronchoscopy video sequences for diagnostic, reference and educational purposes could be considerably extended with efficient, flexible summarization algorithms. Thus, the authors developed a prototype system to create shortcuts (called summaries or abstracts) of bronchoscopy video recordings. Such a system, based on models described in previously published papers, employs image analysis methods to exclude frames or sequences of limited diagnostic or education value.

Results

The algorithm for the selection or exclusion of specific frames or shots from video sequences recorded during bronchoscopy procedures is based on several criteria, including automatic detection of "non-informative", frames showing the branching of the airways and frames including pathological lesions.

Conclusions

The paper focuses on the challenge of generating summaries of bronchoscopy video recordings.     

Dingo Howls: The Content and Efficacy of a Long‐Range Vocal Signal

Signals are shaped through selective pressures impacting their information content (i.e. ‘what’ is conveyed) and their efficacy (i.e. ‘how’ is it conveyed). In the case of long‐range communication, a signal's structure should both convey information and allow for detection and discrimination despite the effects of environmental variability during propagation. Canid howls are an ideal example of a long‐range communication signal, although research has mostly focused on the relationships between howls’ acoustic characteristics and their potential information content in wolves, Canis lupus spp., and coyotes, Canis latrans. In this study, we quantified these relationships in another canid, the dingo, Canis familiaris dingo, to determine how their howls compare to that of other wild canids. We found that dingoes’ howls are individually distinctive and may convey gender cues. Playback experiments indicate that dingoes can perform class‐level recognition of familiar and unfamiliar individuals on the basis of vocalizations alone. These results mirror findings for other wild canids such as wolves and coyotes. Lastly, propagation experiments demonstrate that this signal's structure can permit long‐distance detectability and discriminability. We discuss our results in relation to the putative functions of canid howls and propose avenues for future research.     

Iris pigmentation as a quantitative trait: variation in populations of European,East Asian and South Asian ancestry and association with candidate gene polymorphisms

In this study, we present a new quantitative method to measure iris colour based on high‐resolution photographs. We applied this method to analyse iris colour variation in a sample of individuals of East Asian, European and South Asian ancestry. We show that measuring iris colour using the coordinates of the CIELAB colour space uncovers a significant amount of variation that is not captured using conventional categorical classifications, such as ‘brown’, ‘blue’ or ‘green’. We tested the association of a selected panel of polymorphisms with iris colour in each population group. Six markers showed significant associations with iris colour in the European sample, three in the South Asian sample and two in the East Asian sample. We also observed that the marker HERC2 rs12913832, which is the main determinant of ‘blue’ versus ‘brown’ iris colour in European populations, is also significantly associated with central heterochromia in the European sample.     

Computer detection of the rapid diffusion of fluorescent membrane fusion markers in images observed with video microscopy.

We have developed an algorithm for automated detection of the dynamic pattern characterizing flashes of fluorescence in video images of membrane fusion. The algorithm detects the spatially localized, transient increases and decreases in brightness that result from the dequenching of fluorescent dye in phospholipid vesicles or lipid-enveloped virions fusing with a planar membrane. The flash is identified in video images by its nonzero time derivative and the symmetry of its spatial profile. Differentiation is implemented by forward and backward subtractions of video frames. The algorithm groups spatially connected pixels brighter than a user-specified threshold into distinct objects in forward- and backward-differentiated images. Objects are classified as either flashes or noise particles by comparing the symmetries of matched forward and backward difference profiles and then by tracking each profile in successive difference images. The number of flashes identified depends on the brightness threshold, the size of the convolution kernel used to filter the image, and the time difference between the subtracted video frames. When these parameters are changed so that the algorithm identifies an increasing percentage of the flashes recognized by eye, an increasing number of noise objects are mistakenly identified as flashes. These mistaken flashes can be eliminated by a human observer. The algorithm considerably shortens the time needed to analyze video data. Tested extensively with phospholipid vesicle and virion fusion with planar membranes, our implementation of the algorithm accurately determined the rate of fusion of influenza virions labeled with the lipophilic dye octadecylrhodamine (R18).     

Uniform Local Binary Pattern Based Texture-Edge Feature for 3D Human Behavior Recognition

With the rapid development of 3D somatosensory technology, human behavior recognition has become an important research field. Human behavior feature analysis has evolved from traditional 2D features to 3D features. In order to improve the performance of human activity recognition, a human behavior recognition method is proposed, which is based on a hybrid texture-edge local pattern coding feature extraction and integration of RGB and depth videos information. The paper mainly focuses on background subtraction on RGB and depth video sequences of behaviors, extracting and integrating historical images of the behavior outlines, feature extraction and classification. The new method of 3D human behavior recognition has achieved the rapid and efficient recognition of behavior videos. A large number of experiments show that the proposed method has faster speed and higher recognition rate. The recognition method has good robustness for different environmental colors, lightings and other factors. Meanwhile, the feature of mixed texture-edge uniform local binary pattern can be used in most 3D behavior recognition.     

Integrating image quality in 2nu-SVM biometric match score fusion

This paper proposes an intelligent 2nu-support vector machine based match score fusion algorithm to improve the performance of face and iris recognition by integrating the quality of images. The proposed algorithm applies redundant discrete wavelet transform to evaluate the underlying linear and non-linear features present in the image. A composite quality score is computed to determine the extent of smoothness, sharpness, noise, and other pertinent features present in each subband of the image. The match score and the corresponding quality score of an image are fused using 2nu-support vector machine to improve the verification performance. The proposed algorithm is experimentally validated using the FERET face database and the CASIA iris database. The verification performance and statistical evaluation show that the proposed algorithm outperforms existing fusion algorithms.     

Dosimetric characteristics of a new polymer gel and their dependence on post-preparation and post-irradiation time: Effect on X-ray beam profile measurements

The aim of this study is to dosimetrically characterize a new MRI based polymer gel system and to evaluate its usefulness in clinical practice just in terms of beam profile measurements.Normoxic N-vinylpyrrolidone based polymer gel (VIPET) phantoms were produced and used in order to perform three main sets of experiments: a) dose–response evaluation and reproducibility experiments, b) experiments for the evaluation of sensitivity of dose characteristics on ‘gel manufacture – irradiation’ time interval and c) experiments for the evaluation of sensitivity of dose characteristics on ‘irradiation – MRscanning’ time interval. It has been shown that this gel system can be used in a wide dose-range of 0–60 Gy. It exhibits a linear dose–response in the dose-range of 2–35 Gy. Following the proposed manufacturing method the dose–response characteristics are reproducible. Moreover, it seems that the optimum ‘gel manufacturing – irradiation’ time interval is 1 day. However, a ‘gel manufacturing – irradiation’ time interval up to ～1 week can be safely used. The optimum ‘irradiation – MRscanning’ time interval in terms of dose–response sensitivity and dose resolution can be reliably ranged from 1 day to 3 weeks. Finally, X-ray beam profile gel-measurements were performed and found to be in satisfying agreement with corresponding small sensitive volume ion chamber measurements. VIPET gel dosimeters preserved the spatial integrity of the dose distribution during a time period of 50 days post-irradiation. The studied gel system can be safely used in clinical practice within the practical limitations found and described in this work.     

Iris Identification Technology Based on Multiwavelets

1IntroductionIris identification is reputed to be one of the mostreliable biometric identification technologies.Wavelettheory has been widely used in feature analysis of the irisimage-the key to this technology.The classical irisrecognition algorithms were developed by Daugman[1]and Wildes[2].Zero-crossings of the wavelet transformwas presented by Boles[3].Gabor filter optimizationdesign for iris texture analysis and a multi-matchingsystem based on a simplified deformable model of thehuman i…     

DIFFERENTIAL DETERMINATION OF HEXOSAMINIDASES A AND B AND OF TWO FORMS OF β-GALACTOSIDASE,IN THE LAYERS OF THE HUMAN CEREBELLUM1

—In order to determine whether or not various histological elements of the nervous system may differ in their relative content of hexosaminidase A and B (O'Brien , Okada , Chen and Fillerup , 1970) and in the‘acid’and‘neutral’forms of β-galactosidase (Ho and O'Brien , 1971), these isoenzymes were determined separately in the layers of human cerebellum. The proportion of the heat-stable hexosaminidase B was greater in the granular layer than in the molecular layer or underlying white matter. The activity of the‘neutral’form of β-galactosidase was very low compared to the‘acid’type, but its distribution was similar.     

Whither ‘non-racialism’: the ‘new’ South Africa turns twenty-one

This brief essay reflects on the meaning and significance of ‘non-racialism’ in South Africa's recent past and present. I consider the version of non-racialism that shaped the transition from apartheid to a constitutional democracy as having had dual dimensions, ethical and strategic. Ethically, non-racialism has signified a principle of human recognition that exceeds the mere tolerance of difference. Strategically, non-racialism has afforded ways of managing and disciplining the historical realities of racial differences. The politicization of race in recent years has rendered the project of non-racialism more precarious: both its ethical and strategic dimensions merit further scrutiny, if the project is to be revitalized.     

基于多特征融合的多分类运动想象脑电信号识别研究

针对目前多分类运动想象脑电识别存在特征提取单一、分类准确率低等问题,提出一种多特征融合的四分类运动想象脑电识别方法来提高识别率。对预处理后的脑电信号分别使用希尔伯特-黄变换、一对多共空间模式、近似熵、模糊熵、样本熵提取结合时频—空域—非线性动力学的初始特征向量,用主成分分析降维,最后使用粒子群优化支持向量机分类。该算法通过对国际标准数据集BCI2005 Data set IIIa中的k3b受试者数据经MATLAB仿真处理后获得93.30%的识别率,均高于单一特征和其它组合特征下的识别率。分别对四名实验者实验采集运动想象脑电数据,使用本研究提出的方法处理获得了72.96%的平均识别率。结果表明多特征融合的特征提取方法能更好的表征运动想象脑电信号,使用粒子群支持向量机可取得较高的识别准确率,为人脑的认知活动提供了一种新的识别方法。