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Dissertations / Theses on the topic 'The image of hand'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Chandrasekhar, Chaya. "Pāla-Period Buddha Images: their hands, hand gestures, and hand-held attributes." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1092830047.

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Chandrasekhar, Chaya. "Påla-period Buddha images their hands, hand gestures, and hand-held attributes /." Connect to this title online, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1092830047.

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Thesis (Ph. D.)--Ohio State University, 2004.<br>Document formatted into pages; contains xvi,375 p.; also contains graphics. Includes bibliographical references. Abstract available online via OhioLINK's ETD Center; full text release delayed at author's request until 2009 Aug. 18.

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遲秉壯 and Ping-chong Chee. "Hand-printed Chinese character recognition and image preprocessing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31213972.

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Chee, Ping-chong. "Hand-printed Chinese character recognition and image preprocessing /." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B18597579.

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Saremi, Shahrzad. "Evolutionary Hand Posture Estimation for Image-based Gesture Detection Systems." Thesis, Griffith University, 2018. http://hdl.handle.net/10072/374748.

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Hand posture estimation is one of the main phases of hand gesture estimation. It refers to the process of estimating a real hand image obtained from an acquisition device in a computer. The accuracy of the estimated hand model has a direct impact on feature selection and classi cation. The current hand posture estimation techniques are divided into three classes: generative, discriminative, and hybrid methods. In the rst, a model of the hand is generated and improved to model a hand in a computer accurately. In the second class, a database of di erent hand images is created and used to estima

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Liu, Nianjun. "Hand gesture recognition by Hidden Markov Models /." [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18158.pdf.

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7

Banks, R. N. "Neural networks for hand-printed character recognition." Thesis, University of Nottingham, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293655.

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Font, Aragonès Xavier. "Visible, near infrared and thermal hand-based image biometric recognition." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/117685.

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Biometric Recognition refers to the automatic identification of a person based on his or her anatomical characteristic or modality (i.e., fingerprint, palmprint, face) or behavioural (i.e., signature) characteristic. It is a fundamental key issue in any process concerned with security, shared resources, network transactions among many others. Arises as a fundamental problem widely known as recognition, and becomes a must step before permission is granted. It is supposed that protects key resources by only allowing those resources to be used by users that have been granted authority to use or t

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McDonell, Margaret. "The invisible hand : cross-cultural influence on editorial practice /." St. Lucia, Qld, 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18021.pdf.

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10

Prokaj, Jan. "Scale Space Based Grammar for Hand Detection." Honors in the Major Thesis, University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/985.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.<br>Bachelors<br>Engineering and Computer Science<br>Computer Science

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Popov, Pavel Alexandrovich. "Real-time 2D Static Hand Gesture Recognition and 2D Hand Tracking for Human-Computer Interaction." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41556.

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The topic of this thesis is Hand Gesture Recognition and Hand Tracking for user interface applications. 3 systems were produced, as well as datasets for recognition and tracking, along with UI applications to prove the concept of the technology. These represent significant contributions to resolving the hand recognition and tracking problems for 2d systems. The systems were designed to work in video only contexts, be computationally light, provide recognition and tracking of the user's hand, and operate without user driven fine tuning and calibration. Existing systems require user calibration,

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Xiao, Guofang. "3-D free-hand ultrasound imaging and image analysis of the breast." Thesis, University of Oxford, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393987.

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Bozas, Konstantinos. "Scalable image retrieval based on hand drawn sketches and their semantic information." Thesis, Queen Mary, University of London, 2014. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8828.

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The research presented in this thesis aims to extend the capabilities of traditional content-based image retrieval systems, towards more expressive and scalable interactions. The study focuses on machine sketch understanding and its applications. In particular, sketch based image retrieval (SBIR), a form of image search where the query is a user drawn picture (sketch), and freehand sketch recognition. SBIR provides a platform for the user to express image search queries that otherwise would be di cult to describe with text. The research builds upon two main axes: extension of the state-of-the

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Chen, Hui, and 陳輝. "Building panoramas from photographs taken with a hand-held camera." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31242923.

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Chen, Hui. "Building panoramas from photographs taken with a hand-held camera /." Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B23668064.

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Garner, Brian Alan. "A Musculoskeletal model of the upper limb based on the medical image dataset of the visible human male /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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17

Burstow, Stephen Alfred. "The Handheld Image: Art, History and Embodiment." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/18077.

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This thesis investigates how images become present through movement and bodily performance. Inspiring this investigation are the contemporary practices of viewers engaging with still and moving images of people on their handheld screen devices. These practices are not only central to contemporary visuality, they also provide a focus for two wider themes relating to images of people: first, the dynamic tension between image control and circulation; and second, the mutual contestation of the physical and the virtual. To explore the struggle between image control and circulation, this thesis comp

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Pink, Jeffrey R. "Features and neural net recognition strategies for hand printed digits /." Online version of thesis, 1995. http://hdl.handle.net/1850/12230.

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Dreijer, Janto F. "Interactive recognition of hand-drawn circuit diagrams." Thesis, Stellenbosch : University of Stellenbosch, 2006. http://hdl.handle.net/10019.1/2477.

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Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2006.<br>When designing electronic circuits, engineers frequently make hand-drawn sketches of circuits. These are then captured with a computerised design. This study aims to create an alternative to the common schematic capture process through the use of an interactive pen-based interface to the capturing software. Sketches are interpreted through a process of vectorising the user’s strokes into primitive shapes, extracting information on intersections between primitives and using a naive Bayesian clas

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Guifo, Guifo Robinson. "The statistical properties and coding of handwriting and hand-drawn graphics in tutorial classes." Thesis, Open University, 1989. http://oro.open.ac.uk/54181/.

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This research investigates compression techniques as applied to input from a digitizing tablet. The representations we consider are either drawn from the literature or developed within this thesis; they involve selecting relevant points along the trajectory of the writing pen, and using an interpolating function for reconstruction. The two dimensional parametric polynomial interpolator (e.g linear, quadratic, cubic ) is used for regenerating the trajectory of the pen. Several techniques for selecting relevant points , i.e control points are discussed. We determine our best representation by we

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Karlaputi, Sarada. "Evaluating the Feasibility of Accelerometers in Hand Gestures Recognition." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc699862/.

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Gesture recognition plays an important role in human computer Interaction for intelligent computing. Major applications like Gaming, Robotics and Automated Homes uses gesture recognition techniques which diminishes the usage of mechanical devices. The main goal of my thesis is to interpret SWAT team gestures using different types of sensors. Accelerometer and flex sensors were explored extensively to build a prototype for soldiers to communicate in the absence of line of sight. Arm movements were recognized by flex sensors and motion gestures by Accelerometers. Accelerometers are used to measu

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Parekh, Gaurav. "Scene matching between a quantitative map and a qualitative hand drawn sketch." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/5048.

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Thesis (M.S.)--University of Missouri-Columbia, 2007.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on November 12, 2008) Includes bibliographical references.

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Clark, Evan M. "A multicamera system for gesture tracking with three dimensional hand pose estimation /." Link to online version, 2006. https://ritdml.rit.edu/dspace/handle/1850/1909.

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Nederhof, Mark-Jan. "OCR of hand-written transcriptions of hieroglyphic text." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-201704.

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Encoding hieroglyphic texts is time-consuming. If a text already exists as hand-written transcription, there is an alternative, namely OCR. Off-the-shelf OCR systems seem difficult to adapt to the peculiarities of Ancient Egyptian. Presented is a proof-of-concept tool that was designed to digitize texts of Urkunden IV in the hand-writing of Kurt Sethe. It automatically recognizes signs and produces a normalized encoding, suitable for storage in a database, or for printing on a screen or on paper, requiring little manual correction. The encoding of hieroglyphic text is RES (Revised Encoding Sch

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Zhu, Hong Min. "Real-time hand gesture recognition using motion tracking." Thesis, University of Macau, 2010. http://umaclib3.umac.mo/record=b2182870.

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Nellis, Jaan. "The application of artificial neural networks and associated technologies to the task of hand-printed character recognition." Thesis, Brunel University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333516.

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27

Rastogi, Anshul. "3 Tesla magnetic resonance imaging and computerised image analysis in the evaluation of rheumatoid hand joints." Thesis, Imperial College London, 2018. http://hdl.handle.net/10044/1/60164.

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Objective: To explore development and testing of a new patient positioning device during wrist MRI. To evaluate rheumatoid arthritis (RA) wrist 3T MRI with computerised image analysis tools including bone segmentation techniques, semiquantitative scoring and dynamic contrast enhanced (DCE-MRI) for synovitis measures, with similar assessments on healthy subjects. To examine the relationship between X-ray/MRI disease activity measures and bone mineral density loss using computerised digital X-ray radiogammetry (DXR). Methods: Preliminary study was about development and evaluation of a new patien

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Alberts, Stefan Francois. "Real-time Software Hand Pose Recognition using Single View Depth Images." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86442.

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Thesis (MEng)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: The fairly recent introduction of low-cost depth sensors such as Microsoft’s Xbox Kinect has encouraged a large amount of research on the use of depth sensors for many common Computer Vision problems. Depth images are advantageous over normal colour images because of how easily objects in a scene can be segregated in real-time. Microsoft used the depth images from the Kinect to successfully separate multiple users and track various larger body joints, but has difficulty tracking smaller joints such as those of the fingers

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Touranakou, Maria. "A Novel System for Deep Analysis of Large-Scale Hand Pose Datasets." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240419.

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This degree project proposes the design and the implementation of a novel systemfor deep analysis on large-scale datasets of hand poses. The system consists of a set ofmodules for automatic redundancy removal, classification, statistical analysis andvisualization of large-scale datasets based on their content characteristics. In thisproject, work is performed on the specific use case of images of hand movements infront of smartphone cameras. The characteristics of the images are investigated, andthe images are pre-processed to reduce repetitive content and noise in the data. Twodifferent desig

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Hettiarachchi, Randima. "Multi-Manifold learning and Voronoi region-based segmentation with an application in hand gesture recognition." Elsevier, 2015. http://hdl.handle.net/1993/31969.

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A computer vision system consists of many stages, depending on its application. Feature extraction and segmentation are two key stages of a typical computer vision system and hence developments in feature extraction and segmentation are significant in improving the overall performance of a computer vision system. There are many inherent problems associated with feature extraction and segmentation processes of a computer vision system. In this thesis, I propose novel solutions to some of these problems in feature extraction and segmentation. First, I explore manifold learning, which is a no

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Wang, Chong, and 王翀. "Joint color-depth restoration with kinect depth camera and its applications to image-based rendering and hand gesture recognition." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206343.

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Vance, David. "A quality assurance study of the National Survey of Lead in Children, and smoking-imitative non-food hand-oral behaviour and developmental GIT lead absorption changes /." [St. Lucia], 1999. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16561.pdf.

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Karp, Jonas, and Robert Ek. "Development of a Handheld Night Vision System." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-7457.

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The task for this master thesis was to create a speciﬁcation for a second prototype of Scandilumen´s handheld gated night vision system. Current prototype is analogue and is to be upgraded with a digital interface. The speciﬁcation was to contain information about manufacturers and performance on critical components such as image intensiﬁer tube, image sensor and display. Scandilumen have previous experience with CCD cameras and wanted to know if the CMOS technology were sensitive enough to work properly in gated systems where high sensitivity is critical. Diﬀerent image processing techniques

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Li, Kefeng. "Biometric person identification using near-infrared hand-dorsa vein images." Thesis, University of Central Lancashire, 2013. http://clok.uclan.ac.uk/9238/.

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Biometric recognition is becoming more and more important with the increasing demand for security, and more usable with the improvement of computer vision as well as pattern recognition technologies. Hand vein patterns have been recognised as a good biometric measure for personal identification due to many excellent characteristics, such as uniqueness and stability, as well as difficulty to copy or forge. This thesis covers all the research and development aspects of a biometric person identification system based on near-infrared hand-dorsa vein images. Firstly, the design and realisation of a

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Wang, Dong. "Digital image processing via combination of low-level and high-level approaches." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5384.

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With the growth of computer power, Digital Image Processing plays a more and more important role in the modern world, including the field of industry, medical, communications, spaceflight technology etc. There is no clear definition how to divide the digital image processing, but normally, digital image processing includes three main steps: low-level, mid-level and highlevel processing. Low-level processing involves primitive operations, such as: image preprocessing to reduce the noise, contrast enhancement, and image sharpening. Mid-level processing on images involves tasks such as segmentati

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Gonzalez, Jean. "Development and Testing of a Second Generation Hand-held Optical Imager." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/596.

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Hand-held optical imagers are developed towards clinical breast cancer imaging. Herein, a Gen-2 hand-held optical imager has been developed with unique features: (i) image curved breast tissues with ~86% surface contact, and (ii) perform reflectance and transillumination imaging using the novel forked probe heads. Extensive phantom studies were performed using 1% Liposyn solution (background, ~ 300 ml and 1000 ml volumes) and 0.45 cc India Ink (absorption) targets, under different target:background contrast ratios and target depths. Two-dimensional surface images detected target(s) up to 2.5 c

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Saha, Sneha. "3D Hand Pose Tracking from Depth Images using Deep Reinforcement Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235746.

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Low-cost consumer depth cameras have enabled reasonable 3D hand pose trackingfrom single depth images. Such 3D hand pose tracking can be an integralpart of many computer vision applications such as gesture recognition and humanactivity tracking. However, 3D human pose tracking still remains an openresearch problem as tracking of the hand involves nonrigidity due to finger articulationin complex background scenes, and occlusion which makes tracking achallenging task. In this work, we proposed a new approach to track 3D handpose to capture both rigid and non-rigid hand gestures.The common way of

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Irizarry, Justin Lee. "Hand Amputees have an Altered Perception of Images at Arm's Length." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc28435/.

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The preface to this collection "Dust Clouding: Ambiguity and the Poetic Image," highlights the ways in which poets such as W.S Merwin and Donald Revell use ambiguity and the poetic image to strengthen their poems and encourage equality between reader and writer. Hand Amputees have an Altered Perception of Images at Arm's Length is a collection of poems and poem like adventures.

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Medeiros, Rafael Sachett. "Detecção de pele humana utilizando modelos estocásticos multi-escala de textura." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/70193.

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A detecção de gestos é uma etapa importante em aplicações de interação humanocomputador. Se a mão do usuário é detectada com precisão, tanto a análise quanto o reconhecimento do gesto de mão se tornam mais simples e confiáveis. Neste trabalho, descrevemos um novo método para detecção de pele humana, destinada a ser empregada como uma etapa de pré-processamento para segmentação de gestos de mão em sistemas que visam o seu reconhecimento. Primeiramente, treinamos os modelos de cor e textura de pele (material a ser identificado) a partir de um conjunto de treinamento formado por imagens de pele.

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Liang, Xusheng. "Comparative study of table layout analysis : Layout analysis solutions study for Swedish historical hand-written document." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17643.

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Background. Nowadays, information retrieval system become more and more popular, it helps people retrieve information more efficiently and accelerates daily task. Within this context, Image processing technology play an important role that help transcribing content in printed or handwritten documents into digital data in information retrieval system. This transcribing procedure is called document digitization. In this transcribing procedure, image processing technique such as layout analysis and word recognition are employed to segment the document content and transcribe the image content into

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Goudie, Duncan. "Discriminative hand-object pose estimation from depth images using convolutional neural networks." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/discriminative-handobject-pose-estimation-from-depth-images-using-convolutional-neural-networks(f677870a-779f-460a-948d-10fc045e094c).html.

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This thesis investigates the task of estimating the pose of a hand interacting with an object from a depth image. The main contribution of this thesis is the development of our discriminative one-shot hand-object pose estimation system. To the best of our knowledge, this is the first attempt at a one-shot hand-object pose estimation system. It is a two stage system consisting of convolutional neural networks. The first stage segments the object out of the hand from the depth image. This hand-minus-object depth image is combined with the original input depth image to form a 2-channel image for

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Mishra, Asutosh, and Alok Nanda. "Master Hand Technology For The HMI Using Hand Gesture And Colour Detection." Thesis, 2012. http://ethesis.nitrkl.ac.in/3390/1/108EI005_108EI001_FINAL_THESIS.pdf.

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Master Hand Technology uses different hand gestures and colors to give various commands for the Human-Machine(here Computer) Interfacing. Gestures recognition deals with the goal of interpreting human gestures via mathematical algorithm. Gestures made by users with the help of a color band and/or body pose , in two or three dimensions , get translated by software/image processing into predefined commands .The computer then acts according to the command. There have been a lot work already developed in this field either by extracting hand gesture only or extract

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Sahoo, Lagnajeet. "Hand Gesture Recognition System." Thesis, 2015. http://ethesis.nitrkl.ac.in/7739/1/602.pdf.

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Hand Gesture Recognition is a well-researched topic in the community of Machine Learning, Computer Graphics and Image Processing. The system which are based on Recognition technology follow mathematically rich and complicated algorithms whose main aim is to teach a computer different gestures. Because there are very large sets of gestures, the number of methodologies to identify the set of gestures is also large. In this thesis, I have concentrated on the gestures are based on hands. The thesis is divided into two sections namely: Static mode and Dynamic. The Static mode concentrates on gestur

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Shih, Tzu-I., and 施姿伊. "The Analysis and Application of Image Pun – Hand Image Creation." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/5g75s8.

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碩士<br>朝陽科技大學<br>工業設計系<br>104<br>‘Pun’ refers to something that connects or takes on two different cognitions. In rhetoric, its usage is common. Many scholars have defined and classified it, but few people have put forward its usage outside the realm of literature. This study revolves around the application and analysis of ‘puns’ in images, categorizing image puns into ‘image graph pun’ and ‘image sense pun’ based on Ferdinand de Saussure’s concepts of signifier and signified. The process, expression and possible interpretation of these two puns will be discussed and used as the direction of cr

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Hota, Anuraag, and Souramya Pradhan. "Hand Written Odia Character Recognition." Thesis, 2012. http://ethesis.nitrkl.ac.in/3695/1/projectreport.pdf.

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The world is fast moving towards digitalization. In the age of super-fast computational capabilities, everything has to be made digitalized so as to make the computer understand and thereby process the given information. Optical character recognition is a method by which the computer is made to learn, understand and interpret the languages used and written by the human beings. It provides us a whole new way by which computer can interact with human beings, in their own languages. Hence OCR has been a topic of interest for researchers all around the globe in the past decade and research paper i

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Mandal, Itishree, and Samiksha Ray. "Hand gesture based digit recognition." Thesis, 2014. http://ethesis.nitrkl.ac.in/6488/1/E-30.pdf.

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Recognition of static hand gestures in our daily plays an important role in human-computer interaction. Hand gesture recognition has been a challenging task now a days so a lot of research topic has been going on due to its increased demands in human computer interaction. Since Hand gestures have been the most natural communication medium among human being, so this facilitate efficient human computer interaction in many electronics gazettes . This has led us to take up this task of hand gesture recognition. In this project different hand gestures are recognized and no of fingers are counted. R

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Devarapalli, Avinash Babu. "Static hand gesture segmentation for images with complex background; detection and tracking of dynamic hand gesture." Thesis, 2013. http://ethesis.nitrkl.ac.in/5204/1/211EC4091.pdf.

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This thesis presents color hand gesture segmentation for static images with complex background along with tracking and detection of hand gesture from video sequence. This thesis consists of two works: 1) Static. 2) Dynamic. In the first part, aim is to automatically segment the hand gesture from a given image under different luminance conditions and complex backgrounds. The luminance value affects the color component of an image which leads to increase the noise level in the segmented image. This paper proposes a combined model of two color spaces i.e., HSI, YCbCr and morphological operations

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Sahoo, Jasmine, and Chidananda Tarai. "Hand Gesture Based Surveillance Robot." Thesis, 2013. http://ethesis.nitrkl.ac.in/5026/1/109EI0341.pdf.

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In this work, a hardware and software based integrated system is developed for hand gesture based surveillance robot. The proposed system is a non-invasive technique and software part of the system uses gesture based image processing technique. The hardware part is developed based on AVR microcontroller platform. The captured image of hand is segmented and its contour is determined. The convexity defects are computed to detect the number of fingers used by the subject. The number of fingers directs the path to robot that is to be followed. The camera placed on the robot capture the images of i

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Meena, Sanjay. "A Study on Hand Gesture Recognition Technique." Thesis, 2011. http://ethesis.nitrkl.ac.in/2887/1/209ec1111.pdf.

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Hand gesture recognition system can be used for interfacing between computer and human using hand gesture. This work presents a technique for a human computer interface through hand gesture recognition that is able to recognize 25 static gestures from the American Sign Language hand alphabet. The objective of this thesis is to develop an algorithm for recognition of hand gestures with reasonable accuracy. The segmentation of gray scale image of a hand gesture is performed using Otsu thresholding algorithm. Otsu algorithm treats any segmentation problem as classification problem. Total image l

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Lin, Yu-Jui, and 林佑叡. "An Image Fusion Algorithm for Image Stabilization on Hand-Held Consumer Electronics." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/43363677797774087303.

Full text

Abstract:

碩士<br>國立臺灣大學<br>電機工程學研究所<br>96<br>Many handheld consumer electric devices with camera module are developed to be lighter and smaller. The problem is easy to hand-shake when user take photos. To overcome this condition, many digital cameras avoid image blur with optical image stabilize system. If we use digital image stabilize to solve this problem, the total cost will be reduce a lot. It is hard to use good camera shutter to achieve optical image stabilization on hand-held consumer electronics. In this thesis, we propose an efficient algorithm for digital image stabilization on consumer el

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