[PDF] Top 20 Title: FINGERPRINT COMPRESSION BASED ON SPARSE REPRESENTATION

... technologies, fingerprint recognition is very popular for personal identification due to the uniqueness, Large volumes of fingerprint are collected and stored every day in a wide range of applications, ... See full document

... The fingerprint images can’t be compressed well ...approach based on sparse representation is ...the fingerprint images, referring the matrix dictionary whose columns are called atoms; ... See full document

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

... between sparse coding of the examples based on the current dictionary and an update process for the dictionary atoms so as to better fit the ...the sparse representation coefficients related ... See full document

... years sparse representation has become a hot topic in the research of image representation model and there has been a growing interest in the study of image compression based on ... See full document

... 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

... 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

... primarily compression of a stream of 8x8 blocks of image ...knowledge compression by concentrating most of the signal within the lower abstraction ... See full document

... Dimensional) fingerprint images for short time or short space frequency ...transform representation for future automated image processing ...Spatial based domain image enhancement and frequency ... See full document

... 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

... 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

... latent fingerprint image and fingerprint to be enhanced, also consider the Gabor ...patch based sparse representation is iteratively applied on original latent fingerprint image ... See full document

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

... Typically television image generates data rates exceeding 10 million bytes/sec. There are other image sources that generate even higher data rates. Storage and transmission of such data require large capacity and ... See full document

... identification. Fingerprint identification is commonly employed in forensic science to support criminal investigations, and in biometric systems such as civilian and commercial identification ...devices. ... See full document

... In this paper, we present a novel hybrid method inte- grating SWT, co-occurrence matrix, and DCT to achieve the accurate detection of unacceptable smears in scanned rolled fingerprints. One of the key advantages of our ... See full document

... people based on fingerprints requires that the input fingerprint be matched with candidates within a large number of ...new fingerprint compression using Modified Set Partitioning in ... See full document

... the Sparse Representation based Classification (SRC) models sparse coding as sparsity constrained regression problem and recently achieved the most impressive results on record for person ... See full document

... One should be noted is that our method is based the as- sumption that any testing sample can be well represented as a linear combination of the training samples from the same class. This means that the training ... See full document

... Prototype Reduction Schemes: The first of the solutions mentioned above, i.e., of reducing the size of the design set without sacrificing the performance, is the basis for the family of prototype reduction schemes ... See full document