Lossy Compression of Biometric Images Implemented Using Floating Point DSP Processor

In this paper, several numbers of biometric images are compressed in order to reduce the number of bits needed in representing an image with conservation of image quality. Biometric images compression is important to solve the problem of efficiently transmitting data and storing large number of biom...

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Vydané v:MATEC web of conferences Ročník 140; s. 1012
Hlavní autori: Azuwam, Azuwam Ali Alhadi, Ahmad, Muhammad Imran, Md Isa, Mohd Nazrin, Ilyas, Mohd Zaizu, Raja Ahmad, Raja Abdullah
Médium: Journal Article Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: Les Ulis EDP Sciences 01.01.2017
Predmet:
Algorithms
Biometrics
Digital signal processing
Floating point arithmetic
Image compression
Image quality
Image reconstruction
Image transmission
Memory devices
Microprocessors
Performance evaluation
Personal computers
ISSN:2261-236X, 2274-7214, 2261-236X
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Popis
Shrnutí:In this paper, several numbers of biometric images are compressed in order to reduce the number of bits needed in representing an image with conservation of image quality. Biometric images compression is important to solve the problem of efficiently transmitting data and storing large number of biometric images in low capacity of memory device. Biometric images are compressed using two techniques which are DCT and Quantization. The compression algorithm is implemented on general purpose computer and DSP processor in order to compare between both of them in terms processing time and evaluate the performance of this technique by measuring the difference between the original image and reconstructed image using PSNR, SSIM and MSE. Experimental results show DCT algorithm produces a high quality for reconstructed images with acceptable compression rate in terms of quality level is more than 50%. Furthermore, implementing the proposed algorithm using DSP board achieves better performance in terms of processing time compared with PC based.
Bibliografia:ObjectType-Conference Proceeding-1
SourceType-Conference Papers & Proceedings-1
content type line 21
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/201714001012