[PDF] Top 20 Fingerprint Compression using Sparse Representation

... Biometric identification systems are in use for last many years for the purpose of personal identification, uncompressed graphics, audio and video data require considerable storage capacity and transmission bandwidth ... See full document

... latent fingerprint compression based on sparse representation based is ...two fingerprint images are Minutiae ...– compression is ... See full document

... new fingerprint compression algorithm based on sparse representation is ...of fingerprint patches allows us to represent them as a sparse linear combination of dictionary ... See full document

... new fingerprint compression algorithm based on sparse representation is ...of fingerprint patches allows us to repre-sent them as a sparse linear combination of dictionary ... See full document

... identification fingerprint recognition is an important technology due to its unique ...for fingerprint verification. Large volume of fingerprint images are collected and stored day by day from a ... See full document

... processing, compression, storage and reproduction any of which may result in a degradation of visual ...image compression when it is required to transmit or store the image over network bandwidth ...2000 ... See full document

... the fingerprint files in ...for fingerprint compression is necessary to both reduce the memory storage and identification ...the compression technique is considered as one of the most ... See full document

... new fingerprint, slice it into square patches which have the same size with the training ...the sparse representation for each patch by solving the ... See full document

... Image compression minimizes the size in bits of a graphics file without degrading the quality of the ...Image compression addresses the problem of reducing the amount of data required to represent a digital ... See full document

... It is another technique used for contextual filtering in Fourier domain for fingerprint enhancement. The Classical traditional 1D (One Dimensional) time frequency analysis is renewed to 2D (2 Dimensional) ... See full document

... image compression sparse representation was proposed, and a nonparametric hierarchical Bayes mixed factor model under Dirichle process distribution was established specific to the sparsity of ... See full document

... In digital camera identification, noise residual is usually extracted from large image block to improve the identification accuracy, since the large image block contains more SPN information. As a result, noise residual ... See full document

... the fingerprint features, minutia point features with corresponding orientation maps are unique enough for making ...feature representation reduces the complex fingerprint recognition problem to a ... See full document

... use sparse representation, instead of Gabor ...and Sparse Representation are areas under extensive research in recent years, which have seen promising applications in signal ... See full document

... Wavelet compression is different from other transform based compression like DCT where the transform matrix is ...of using short filters and the absence of blocking ...flexible representation ... See full document

... efficient representation of data plays an increas- ingly important role in areas across applied mathematics, science, and ...are sparse (that is, “very” few terms of the representation are sufficient to ... See full document

... for representation of fingerprints by means of the basic notion of minutiae ...the fingerprint identification /authentication algorithm is based on minutiae present in the ...the fingerprint like ... See full document

... cortex-like representation of an ...image using a small number of basis elements, and (ii) overcompleteness - the number of basis elements in the dictionary is greater than the vector space spanned by the ... See full document

... ABSTRACT: Fingerprint recognition is the most widely used biometric to identify ...Latent fingerprint identification is of critical importance in criminal ...patch-based sparse representation ... See full document

... For a good sparse representation, the design of an appropriate over-complete dictionary is the key step. The majority of works on constructing over-complete dictionary D can be roughly parted into two main ... See full document