An Optimal Sparse Encoding Assisted Robust Fingerprint Compression
نویسنده
چکیده
Fingerprint compression which is based on sparse representation already exists. Here by constructing a complete dictionary from a group of fingerprint patches, allows us to represent them as a sparse linear combination of dictionary atoms. Initially, construct a dictionary where fingerprint image patches that are predefined are stored. For a new given fingerprint images represent the patches according to the dictionary by computing I0-minimisation and quantize and encode the representation. The algorithm has higher complexities due to the block by block processing mechanism which need to be taken care of.Here , we propose a method for solving sparse representation with the help of an optimization algorithm.The optimization algorithm used here is harmony search.The compression ratio, PSNR obtained by the proposed method is high compared to the one produced by existing method.
منابع مشابه
Wavelet and optimal requantization methodology for lossy fingerprint compression
Re-quantization is a key technology for reducing the bit rate of compressed data. This reduction of the bit rate; and in certain cases may result in signal quality degradation. Therefore the proposed techniques used 9/7 wavelet transform before optimal re-quantization and finally, the output stream of coding symbols is entropy coded by lossless entropy coder; run-length encoding. Simulation res...
متن کاملResearch on Improved Fingerprint Image Compression and Texture Region Segmentation Algorithm
Targeted at the image segmentation and compression problems commonly found in fingerprint image processing, this paper puts forward an improved image segmentation algorithm based on grayscale normalization and an improved image compression algorithm based on sparse matrix transform. The proposed algorithms are proved effective through checking computations. The research results show that: the n...
متن کاملSparse Representation based Fingerprint Compression
Recognition of people by means of their biometric characteristics is very popular among the society. There are various biometric techniques including fingerprint recognition, face recognition and eye detection that are used for the privacy and security purposes in different applications. Among all these techniques, fingerprint recognition has gain more popularity for personal identification due...
متن کاملIntelligent scalable image watermarking robust against progressive DWT-based compression using genetic algorithms
Image watermarking refers to the process of embedding an authentication message, called watermark, into the host image to uniquely identify the ownership. In this paper a novel, intelligent, scalable, robust wavelet-based watermarking approach is proposed. The proposed approach employs a genetic algorithm to find nearly optimal positions to insert watermark. The embedding positions coded as chr...
متن کاملRobust Projection Matrix Design and Its Application in Compression
The aim of this brief is to design a robust projection matrix for the Compressive Sensing (CS) system when the signal is not exactly sparse. The optimal projection matrix design is obtained by minimizing the Frobenius norm of the difference between the identity matrix and the Gram matrix of the equivalent dictionary ΦΨ. A novel penalty ‖Φ‖F is added to make the projection matrix robust when the...
متن کامل