Minutiae Based Thermal Human Face Recognition using Label Connected Component Algorithm

In this paper, a thermal infra red face recognition system for human identification and verification using blood perfusion data and back propagation feed forward neural network is proposed. The system consists of three steps. At the very first step face region is cropped from the colour 24-bit input images. Secondly face features are extracted from the croped region, which will be taken as the input of the back propagation feed forward neural network in the third step and classification and recognition is carried out. The proposed approaches are tested on a number of human thermal infra red face images created at our own laboratory. Experimental results reveal the higher degree performanceComment: 7 pages, Conference. arXiv admin note: substantial text overlap with arXiv:1309.1000, arXiv:1309.0999, arXiv:1309.100

"The fruits of independence": Satyajit Ray, Indian nationhood and the spectre of empire

Challenging the longstanding consensus that Satyajit Ray's work is largely free of ideological concerns and notable only for its humanistic richness, this article shows with reference to representations of British colonialism and Indian nationhood that Ray's films and stories are marked deeply and consistently by a distinctively Bengali variety of liberalism. Drawn from an ongoing biographical project, it commences with an overview of the nationalist milieu in which Ray grew up and emphasizes the preoccupation with colonialism and nationalism that marked his earliest unfilmed scripts. It then shows with case studies of Kanchanjangha (1962), Charulata (1964), First Class Kamra (First-Class Compartment, 1981), Pratidwandi (The Adversary, 1970), Shatranj ke Khilari (The Chess Players, 1977), Agantuk (The Stranger, 1991) and Robertsoner Ruby (Robertson's Ruby, 1992) how Ray's mature work continued to combine a strongly anti-colonial viewpoint with a shifting perspective on Indian nationhood and an unequivocal commitment to cultural cosmopolitanism. Analysing how Ray articulated his ideological positions through the quintessentially liberal device of complexly staged debates that were apparently free, but in fact closed by the scenarist/director on ideologically specific notes, this article concludes that Ray's reputation as an all-forgiving, ‘everybody-has-his-reasons’ humanist is based on simplistic or even tendentious readings of his work

One Single Blend: Interrelatedness in the Work of Satyajit Ray, Henri Cartier-Bresson, and Virginia Woolf

This dissertation focuses on interrelatedness in the work of a filmmaker, a photographer, and a novelist. Satyajit Ray is an Indian filmmaker whose first film, Pather Panchali (1955) made him internationally famous. His subsequent films confirmed his reputation as a major figure in humanist cinema. Henri Cartier-Bresson is a French photographer who studied painting and was influenced by the European art movements of the 1920s and 1930s. An exponent of straight photography, he created the concept of the decisive moment. Virginia Woolf was a British novelist, a member of the Bloomsbury Group, known for her experiments with narrative and associated with the stream-of-consciousness technique in fiction. By focusing on interrelatedness, this study identifies a concern common to all three. Interrelatedness is a belief in the interconnectedness of things. It envisions a universe that is organically unified, its different components held together by a system of integration, interchange, and interdependence. As Paul Weiss writes, The universe is built and operates as a hierarchy of dynamic systems and subsystems extending from stellar bodies through populations, organisms, organs, cells, genes, molecules, atoms, down to subatomic particles. It is this notion of unity that attracts Ray, Cartier-Bresson, and Woolf. For them, life is a complex interrelated whole, its pluralities juxtaposed in an all-inclusive unity. While they acknowledge the separateness of things, they also affirm their cohesiveness in the context of the larger design. In fact, their work celebrates this paradox: unity in diversity, order in chaos

Efficient representation of range face images using vectorfaces

Advancement in scientific representation should accelerate the processing of images if it is more relevant and worthy with the experiment. Scientific visualizing of data (here, face images) has an enormous impact on exploring detailed inner content of images. Hence, the quality of processing depends on the quantity and informative data that might be accumulated, preserved as well as visualized in a particular image. In this paper, authors have described a novel technique for representation of range face image by „Vectorfaces‟, which is proved to be more effective towards better recognition purpose in terms of recognition rate. Range face image is particularly important for 2D visual images for accomplishing depth data from 3D images. Other than an efficient representation of „Vectorfaces‟ images, authors have also emphasized its significance for selecting better features compared to conventional range images. The major goal of the present work reported in this article is to evaluate, visualize and compare the role of „Vectorfaces‟ over range face images. Change of tracks for different mathematical notations to visualize the images are noted. Moreover, Mean-Maximum curvature image pair is accumulated from range image as well as „Vectorfaces‟ for extraction of features. SVD, followed by a feed-forward backpropagation neural network have been used for recognition purpose. In this work, 3D face images from Frav3D database have been considered. A statistical evaluation of this investigation is also given in the case study section

Azooximates of bi- and tri-valent nickel

The reaction of arylazooximes, RC(NOH)NNPh (HL^R, R = Me or Ph), with nickel(II) acetate tetrahydrate in methanol under anaerobic conditions afforded [NiL^R₃]^- isolated as the NEt₄⁺ salt. One (L^Ph)^- ligand in [NiL^Ph₃]^- underwent facile displacement by L–L ligands like 2,2′-bipyridine (bipy) furnishing [NiL^Ph₂ (bipy)]. The Ni^III–Ni^II reduction potential of [NiL^R₃]^- in acetonitrile is ≈ 0.1 V vs. saturated calomel electrode. The trivalent complex [NiL^R₃] was quantitatively isolated via constant-potential electrolysis at 0.3 V. The Ni^IV–Ni^III couple of the tris chelate was observed near 0.9 V, but the nickel(IV) complex could not be isolated in the solid state. The relatively low metal reduction potential allowing facile preparation of the stable [NiL^R₃] system is attributed to the strong-field nature of the oximato-N atom. In going from [NiL^Ph₃]^- to [NiL^Ph₂ (bipy)] the Ni^III–Ni^II reduction potential increases by ≈ 0.3 V showing that (L^Ph)^- is a much better stabiliser of Ni^III than is bipy. The crystal structures of [NEt₄][NiL^Ph₃] and [NiL^Ph₂ (bipy)] have been determined. The geometry of [NiL^R₃] (S = ½) was studied with the help of its EPR spectrum (d_z2 ground state) in the [CoL^R₃] lattice. Both [NiL^R₃]^- and [NiL^R₃] have exclusive meridional geometry consistent with steric and angular-overlap considerations. In [NiL^Ph₂ (bipy)] the two anionic oximato functions are placed in mutually trans positions. The oximato-N ligand displays substantial trans influence. Thus in [NiL^Ph₃]^- the Ni–N (azo) bond lying trans to Ni–N (oxime) is ≈ 0.05 Å longer than the other two mutually trans Ni–N (azo) bonds. The average Ni–N (azo) distance in [NiL^Ph₂ (bipy)] is ≈ 0.04 Å shorter than that in [NiL^Ph₃]^- because none of the Ni–N (azo) bonds in the former complex is subject to the trans influence of Ni–N (oxime). In both complexes the Ni–N (oxime) lengths are significantly shorter than the Ni–N (azo) lengths, consistent with stronger Ni–N (oxime) σ bonding which is also a reason behind the strong-field nature of the oximate ligand

A Comparative Study of Human Thermal Face Recognition Based on Haar Wavelet Transform and Local Binary Pattern

Thermal infrared (IR) images focus on changes of temperature distribution on facial muscles and blood vessels. These temperature changes can be regarded as texture features of images. A comparative study of face two recognition methods working in thermal spectrum is carried out in this paper. In the first approach, the training images and the test images are processed with Haar wavelet transform and the LL band and the average of LH/HL/HH bands subimages are created for each face image. Then a total confidence matrix is formed for each face image by taking a weighted sum of the corresponding pixel values of the LL band and average band. For LBP feature extraction, each of the face images in training and test datasets is divided into 161 numbers of subimages, each of size 8 × 8 pixels. For each such subimages, LBP features are extracted which are concatenated in manner. PCA is performed separately on the individual feature set for dimensionality reduction. Finally, two different classifiers namely multilayer feed forward neural network and minimum distance classifier are used to classify face images. The experiments have been performed on the database created at our own laboratory and Terravic Facial IR Database