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Hybrid fingerprint image compression technique using Wavelet Transformation and Block Truncation Coding with RLE


Article Information

Title: Hybrid fingerprint image compression technique using Wavelet Transformation and Block Truncation Coding with RLE

Authors: Kalpana D., S. Santhosh Baboo

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 19

Language: English

Categories

Abstract

The Hybrid technique that combines the Wavelet Transformation and Block Truncation Coding is a new framework proposed for fingerprint image compression. The proposed technique includes image enhancement system, forward DWT, encoding system, decoding system and inverse DWT. Image enhancement techniques like histogram equalization and wiener filtering has been performed on the image before Wavelet transformation so that the noisy image can also be retrieved fast. Wavelet based compression are largely used due to the competitive compression ratios that can be achieved at high quality without much blocking artifacts. The BTC converts a gray level image into a binary image with a predefined threshold. The coded bits are written into separate text file as sequence of symbol pairs (run, value) using run-length coding. Experiments on an image database of grayscale JPEG (uncompressed) images shows that the proposed technique performs well in compression and decompression. The Quality metrics used are CR, SNR, MSE and PSNR.


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