see biometric eye scanners iris recognition systems

... art A typical iris recognition system commonly comprises six stages: iris image capture, iris segmentation, iris normalization, iris preprocessing (eyelids/eyelashes detection and iris image enhancement), ... iris recognition in the way of applying this biometric for enhancing the process of biometric passport authentication In the rest of this paper, we first introduce current approachs of iris recognition ... in the iris Boles et al [5] proposed an algorithm for extracting the Fig.3 Stages of an iris recognition system 2.1 Acquiring the iris The iris acquirition is an important stage Since iris is...

Ngày tải lên: 22/03/2014, 09:20

... several hybrid systems which are given by the combination of pairs taken among the set of the three last-mentioned NER systems (lines to in Table 1) Notice that these baseline hybrid systems use ... (Brun and Hag` ge, 2004) and we propagated these annotae tions to the different clusters (see §2.5.2) Systems CBC-NER system M CBC-NER system A Prec 71.67 70.66 Rec 23.47 32.86 F-me 35.36 44.86 ... into an hybrid situation where we have two NER systems (NER + NER 2) which provide two different lists of annotated NEs We want to combine these two systems when annotating NEs occurrences Therefore,...

Ngày tải lên: 31/03/2014, 20:20

... of Sciences, Beijing CHING Y SUEN Concordia University, Montreal CHARACTER RECOGNITION SYSTEMS CHARACTER RECOGNITION SYSTEMS A Guide for Students and Practioners MOHAMED CHERIET ´ Ecole de Technologie ... Conference on Pattern Recognition ICDAR—International Conference on Document Analysis and Recognition DAS—Document Analysis Systems IWFHR—International Workshop on Frontiers in Handwriting Recognition ... particular: Pattern Recognition Pattern Recognition Letters Pattern Analysis and Applications International Journal on Document Analysis and Recognition International Journal of Pattern Recognition and...

Ngày tải lên: 05/06/2014, 12:03

... intelligibility Automatic Speech Recognition System For objective measurement, an automatic speech recognition (ASR) system was applied We use an automatic speech recognition system based on Hidden ... speech recognition system based on Hidden Markov Models (HMMs) The word recognition system was developed at the Chair of Pattern Recognition at the University of ErlangenNuremberg In this study, the ... investigate the dependency between the recognition performance and the correlation to the experts’ perceptual evaluation With the ASR system, we calculated the word recognition rate (WR) of the recordings...

Ngày tải lên: 21/06/2014, 20:20

... famous iris databases, that is, CASIA-IrisV3, Bath, and Ubiris CASIA-IrisV3 includes three subsets which are labeled as CASIA-IrisV3-Interval, CASIA-IrisV3-Lamp, and CASIA-IrisV3-Twins CASIA-IrisV3 ... transform of iris image for pupil segmentation and also localize the iris with a different integral operator Then, they detect the upper eyelid next to eyelash segmentation Finally, the lower eyelid ... Barzegar and M S Moin, “A new approach for iris localization in iris recognition systems, ” in Proceedings of the 6th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA ’08),...

Ngày tải lên: 21/06/2014, 22:20

... automatic iris recognition system includes three main steps: (i) preprocessing such as image acquisition, iris localization, iris normalization, iris denoising, and enhancement; (ii) iris feature ... Netherlands, 1999 [2] D Zhang, Automated Biometrics: Technologies and Systems, Kluwer Academic, Boston, Mass, USA, 2000 [3] R P Wildes, Iris recognition: an emerging biometric technology,” Proceedings ... Processing Iris normalization Pupil localization + iris segmentation 15 12 3 12 15 Feature Selecting the minimum distance from various angles Enhanced + denoised iris image Matching Normalized iris...

Ngày tải lên: 22/06/2014, 23:20

... Object Recognition Systems, Edited by Ioannis Kypraios p cm ISBN 978-953-51-0598-5       Contents   Preface IX Section Cognition, and Biologically-Inspired Systems Chapter Neural Basis of Object Recognition ... object  recognition systems.  Chapter 1 discusses about the neurophysiopathology of attention,  learning and  memory. Then, it discusses about object recognition,  and a novel object  recognition test and its role in building an experimental model of Alzheimer’s disease.  ... antidementia drugs 12 Advances in Object Recognition Systems 3.6 Novel object recognition test The current studies investigated attention/memory for novel object recognition, according to Ennaceur...

Ngày tải lên: 27/06/2014, 00:20

... http://www.cbsr.ia.ac.cn/IrisDatabase.htm 14 CHAPTER RECOGNITION  Iris recognition using Gabor filters This chapter presents our iris recognition algorithm based on pattern analysis The algorithm transforms the eye ... the eye) and the iris 15 3.1 IRIS CONTOUR EXTRACTION In standard iris databases (like UBIRIS [18]), CHAPTER RECOGNITION both upper and lower eyelids occlude some parts of the iris Thus, these ... obstruct recognition Those cautionary measures apart, iris appears to be a very convenient feature for performing biometrics Iris recognition should work with wearers of vision correction systems...

Ngày tải lên: 26/09/2015, 10:05

... system with contextsensitive speech recognition showed significantly better recognition rates than a previous version of the system that used the full grammar for recognition at all times ((Lemon, ... activities and multitasking in dialogue systems Traitement Automatique des Langues, 43(2):131–154 Oliver Lemon 2004 Context-sensitive speech recognition in ISU dialogue systems: results for the grammar ... ignore crosstalk 5.1 Context-sensitive Speech Recognition In the the WITAS dialogue system, the “grammarswitching” approach to context-sensitive speech recognition (Lemon, 2004) is implemented using...

Ngày tải lên: 08/03/2014, 04:22

... Gram-positive Tat systems may operate in a fundamentally different manner to those of Gram-negative organisms In order to directly compare the substrate specificities of the TatAdCd and TatAyCy systems, ... relevance for the biological roles of the TatAdCd and TatAyCy systems in B subtilis Here, we have shown that both the TatAdCd and TatAyCy systems are able to recognize and transport a wide variety ... the Tat 240 systems of Gram-positive and Gram-negative bacteria may be more similar than previously thought This fits well with our observation that the E coli and B subtilis Tat systems are capable...

Ngày tải lên: 16/03/2014, 04:20

... score for each recognition hypothesis as well as individual word confidence scores for each word in the hypothesis Acoustic confidences are computed in an additional step after the actual recognition ... rate (WER) in terms of insertions, deletions, and substitutions as computed by the recognition engine (but see the discussion on the Levenstein distance in the next paragraph) Insertions 1342 ... detection-error tradeoff curve for the recognition results Experiment The purpose of the first experiment was to find out how well features that can be automatically derived from a recognition hypothesis can...

Ngày tải lên: 23/03/2014, 19:20

... both systems to identify cases of disagreement The result is a set of data where the two systems disagree: in our case, disagreements deal with the different categories assigned by the NERC systems ... see from Table 1, in 95% of the cases the two systems are in agreement This means, that in order to update the rule-based NERC system, we have to examine only 5% of the cases, where the two systems ... the encoding of words, e.g capitalisation, and the probabilistic modelling of the recognition system Named-entity recognition in Alembic (Vilain and Day, 1996) uses the transformation-based rule...

Ngày tải lên: 23/03/2014, 19:20

... in the recognition of ps's right-hand side are as follows: A[3], (il, i6), (is, RECOGNITION (2) a[51, (it, i9), (/ix, it2), (ilz, i14) From Figure we can see that a different order in the recognition ... known CYK algorithm for the recognition of CFG's (see for instance [Younger, 1967] and [Aho and Ullman, 1972]) In the following we will apply such a general method to the recognition of LCFRS(2), ... algorithms for the recognition of fan-out and production-length bounded LCFR languages, a problem which is already known to be in the class P 3.1 CROSSING B2 CONFIGURATIONS As seen in Section 2,...

Ngày tải lên: 31/03/2014, 06:20

... and (Walker et al., 2000) consider only single-best recognition results and thus use their classifiers as “filters” to decide whether the best recognition hypothesis for a user utterance is correct ... the hypotheses rather than individual word recognition, is that in SDS it is usually sufficient to rely on the meaning of message that is being conveyed by the user rather than the precise words ... The majority of the features chosen are based on their success in previous systems as described in the literature (see section 2) The novel feature here is the User Simulation score which may...

Ngày tải lên: 31/03/2014, 20:20

... determine recognition rates Test – Testing "yes"/"no" word recognition rate While the results from the beam-forming tests were conducted with a large vocabulary, it is hypothesised that ASR recognition ... engine, an ASR written in Java that employs a Hidden Markov Model (HMM) approach for word recognition [18] The recognition rates for several tests using Sphinx have demonstrated a low word error rate ... phase focuses on demonstrating the possibility of using automatic speech recognition (ASR) with a microphone array and speech recognition software Page of 11 (page number not for citation purposes)...

Ngày tải lên: 19/06/2014, 08:20

... 9: False recognition probability versus SNR (a) Inter-class recognition (Case I) (b) Inter-class recognition (Case II) (c) Intraclass PSK recognition (d) Intra-class FSK recognition recognition ... Inter-class recognition Full-class recognition Intra-class FSK recognition Intra-class QAM recognition Figure 10: False recognition probability versus number of symbols (inter-class recognition, ... the SNRmin for inter-class recognition (Case I) is dB, for inter-class recognition (Case II) is −2 dB, for intra-class PSK recognition is dB, and for intra-class FSK recognition is dB Generally...

Ngày tải lên: 21/06/2014, 16:20

... and eye Some of methods in this category are to process the image of driver and to monitor his/her eye blinking [5–11] In these systems, the face process, eye region detection process, and eye ... determining the state of an eye, based on the difference between iris/ pupil color and white area of the eye In the proposed method, vertical projection is used to determine the eye state This method ... m-eshghi@sbu.ac.ir Abstract Eye state recognition is one of the main stages of many image processing systems such as driver drowsiness detection system and closed -eye photo correction Driver...

Ngày tải lên: 21/06/2014, 19:20

... context of signal recognition, but cannot be applied to OFDM-based systems For OFDM signals, the inherent cyclostationarity owing to guard interval (GI) can be easily exploited for recognition among ... Simulation parameters Method A No of systems to be distinguished FFT length GI length No of subcarriers used for signal recognition No of symbols used for system recognition Channel model Method ... frame On the receiver side, for system recognition, the CAFs for the received signals are compared to the CAF candidates calculated and stored in advance for the systems to be distinguished For this...

Ngày tải lên: 21/06/2014, 23:20

... Group (GTP) and then the EPFL Speech Processing and Biometrics Group (GTPB) and Biometrics Centre Lausanne His research interests include biometrics, speech processing, and man-machine communication ... held-out data which is not used again (see Section 7) The reliability estimator is trained on sets of variable values (CID, Sc, QM, TID) obtained by feeding biometric data in diverse environmental ... Ross, A K Jain, and J.-Z Qian, “Information fusion in biometrics,” in Proceedings of the 3rd International Conference on Audio- and Video-Based Biometric Person Authentication (AVBPA ’01), pp 354–359,...

Ngày tải lên: 22/06/2014, 19:20

... that it is possible to achieve high recognition accuracy without pulse synchronization METHODOLOGY Biometrics-based human identification is essentially a pattern recognition problem which involves ... The evaluation is based on subject and heartbeat recognition rate Subject recognition accuracy is determined by majority voting, while heartbeat recognition rate corresponds to the percentage of ... REFERENCES [1] A K Jain, A Ross, and S Prabhakar, “An introduction to biometric recognition, ” IEEE Transactions on Circuits and Systems for Video Technology, vol 14, no 1, pp 4–20, 2004 [2] L Biel,...

Ngày tải lên: 22/06/2014, 19:20