[PDF] Top 20 Latent Fingerprint Compression Using Sparse Representation

... the compression of 500 dpi fingerprint ...the fingerprint image into a number of sub bands, each of which represents information in a particular frequency ...the fingerprint image .Each of the ... 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

... been using as an important evidence to identify criminals in law enforcement agencies from more than a ...Automated Fingerprint Identification System (AFIS) latent fingerprints were manually matched ... 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

... First store the fingerprint images in a directory called the database for performing the various steps of proposed method. The input image is preprocessed using median filter. The median filter identifies ... See full document

... the sparse constraint, sparse representation methods can be divided into two communities: structure constraint based sparse representation and sparse constraint based ... 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

... 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

... for fingerprint image compression under a linear model ...to compression special images (face and fingerprint ...the fingerprint images can be compressed better under an over-complete ... See full document

... A fingerprint refers to the flow of ridge patterns in the tip of the ...dictionary, compression using Discrete Cosine transform, Image separation using sparse representation and ... See full document

... ABSTRACT: Fingerprint recognition is the most widely used biometric to identify ...individuals. Latent fingerprint identification is of critical importance in criminal ...the latent ... 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

... clustering time-series microarray data as well [174], where the resulting clusters depend upon the initially chosen template genes, because there is a possibility of missing important genes. Another method proposed for ... 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

... In order to improve the classification performance, a Combined Dictionary Scheme is proposed, so that the class information can contribute to the dictionary con- struction. First learn a separate dictionary for each ... See full document

... scale fingerprint images after enhancement (LHE and Median Filtering) are: (i) FFT (Fast Fourier Transformation), (ii) DCT (Discrete Cosine Transformation), and (iii) DWT (Discrete Wavelet ...wavelet ... See full document

... 2) Then basic SPIHT was applied on the decomposed fingerprint image and compressed bit stream was obtained. SPIHT exploits the hierarchical tree structure produced by the DWT. It codes the individual bits of the ... See full document

... Abstract: Latent fingerprint identification is of critical importance in forensic ...applications. Fingerprint features are generally described at three different levels, namely, Level 1 (ridge ... See full document

... a latent fingerprint image into valid and non-validfrequency regions since the method can easily localize thevalid frequency regions with suitable amplitude and ... See full document

... For our case, we restrict ourselves to queries in active learning which reveal the state and hence the σ t is either a singleton element, or the entire set Y. A modified form of the Bell-Waunch algorithm (which is an ... See full document