[PDF] Top 20 Palm Print Compression Based on Sparse Representation
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Palm Print Compression Based on Sparse Representation
... Sparse coding is the modeling of data vectors as sparse linear combinations of basic elements which is widely used in machine learning, neuroscience, signal processing, and statistics. It may focuses on the ... See full document
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Latent Fingerprint Compression Using Sparse Representation
... The shortcoming (in all the above methods), without the ability of learning, can’t be compressed well. To solve this problem is solved latent fingerprint compression based on sparse ... See full document
7
Image similarity using sparse representation and compression distance
... The compression-based similarity measures have been shown to be highly effective in clustering and classifying discrete, uni-dimensional data such as text and protein sequences [2], [3]; but their ... See full document
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Title: FINGERPRINT COMPRESSION BASED ON SPARSE REPRESENTATION
... finger print images over so many user authenticating profile is stored in the FBI for their country database to detect any suspicious activity enrolled by any of the person to have a personalized one, civic in a ... See full document
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Layer-based sparse representation of multiview images
... a compression algorithm based on the sparse representation is to be implemented, where the segmentation of each layer must also be ...2.4 Sparse representation method high-level ... See full document
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Application of Bayes Compressed Sensing in Image rocessing
... pressure. Based on this, a nonparametric hierarchical Bayes learning method of image compression sparse representation was proposed, and a nonparametric hierarchical Bayes mixed factor model ... See full document
7
A Novel Inpainting Algorithm based on Sparse Representation
... in sparse representations show a variety of applications in the field of image ...inpainting, compression and ...k-means based dictionary pruning algorithm is applied to the patches of the dictionary ... See full document
7
Image Compression Via Sparse Representation
... Image compression based on a combined over-complete dictionary is an efficient method. In this paper, we design a novel over-complete dictionary which changes the method that a piece of graphic designs a ... See full document
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Fingerprint Compression using Sparse Representation
... compressed fingerprint images. The proposed method is fingerprint compressed images are authenticated and classified using neural networks. After that compressed images two finger combination based new finger ... See full document
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Fingerprint Compression Based on Sparse Representation
... fingerprint compression algorithm based on sparse representation is ...a sparse linear combination of dictionary ...competing compression techniques (JPEG, JPEG 2000, and WSQ), ... See full document
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The combination of palm print and hand geometry for biometrics palm recognition
... of palm print and hand geometry features to enhance the accuracy rate of the palm recognition ...for palm print feature ...of palm in eight compass ... See full document
5
Kernel Collaborative Representation Classification Based on Adaptive Dictionary Learning
... In order to overcome the shortcomings of traditional dictionary learning mode, such as fixity and lacking of adaptability, this paper discusses adaptive dictionary learning. For each test image, a proper dictionary model ... See full document
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Sparse machine learning models in bioinformatics
... three issues that prevent NMF methods from being used by the much larger community of researchers and practitioners in the data mining, biological, health, medical, and bioinfor- matics areas. First, these NMF software ... See full document
334
Person Re identification with Discriminative Dictionary Learning
... In this section, we briefly introduce the DL based re-id methods, then present our approach to learn a discriminative dictionary and the classification scheme for re-id. We transform the dictionary in each ... See full document
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Metasample Based Robust Sparse Representation for Tumor Classification
... Sparse representation (SR) is a new effective method based on -norm minimization of data ...with sparse coefficient, and classify new sample based on the sparse coefficient ... See full document
6
Survey of Advanced Palm Print Based Biometric Recognition Systems
... combined palm print and palm geometry features’, Electrical Engineering and Informatics (ICEEI), 2011 International Conference ...transform based palm-print recognition’, Applied ... See full document
6
Person Verification using Fusion of Palm Geometry and Palm Print
... system based using hand ...of palm print-based verification system by integrating hand geometry features at different levels of ...the palm print features Gabor filter ... See full document
7
Performance Comparison of Image Transforms for Palm Print Recognition with Fractional Coefficients of Transformed Palm Print Images
... proposed palm print identification techniques implemented using Sine, Cosine, Walsh, Slant, Hartley and Haar transforms is plotted in ...right palm prints(DST L_R,DCT L_R,WALSH L_R,SLANT L_R,HARTLEY ... See full document
8
GraphZIP: a clique-based sparse graph compression method
... the compression results in Table 1 are for the basic GraphZIP format where each clique C ∈ C is written on each line, followed by the remaining edges not in those ...ids based on the ... See full document
14
Image Inpainting Based on Sparse Representation with Histogram Dictionary
... t most similar sample patches which are used to construct a histogram dictionary. That is to say, the sample patch 1 is the first similar to the target patch and so on. The result is shown in Fig. 1. Fig. 1 (a) and ... See full document
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