JOURNAL ARTICLE

Residual vector quantisation-based iris image compression

M. Mary Shanthi Rani

Year: 2014 Journal:   International Journal of Computational Intelligence Studies Vol: 3 (4)Pages: 329-329

Abstract

Research in iris image compression was triggered by its wide application in biometric recognition system. Iris has become one of the three biometric identification technologies (other than fingerprint and face recognition) internationally standardised by International Civil Aviation Organization (ICAO) for use in future passports. In this paper, a novel approach has been proposed for compressing iris images and its performance has been found to outclass standard compression algorithms.

Keywords:
Biometrics Computer science IRIS (biosensor) Iris recognition Civil aviation Computer vision Artificial intelligence Residual Image compression Data compression Compression (physics) Identification (biology) Image (mathematics) Pattern recognition (psychology) Aviation Image processing Algorithm Engineering

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
8
Refs
0.13
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Biometric Identification and Security
Physical Sciences →  Computer Science →  Signal Processing
Advanced Steganography and Watermarking Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
User Authentication and Security Systems
Physical Sciences →  Computer Science →  Information Systems

Related Documents

JOURNAL ARTICLE

Predictive vector quantisation for image compression

Tsai TsaiHsieh

Journal:   Electronics Letters Year: 1998 Vol: 34 (24)Pages: 2325-2326
JOURNAL ARTICLE

Lossy image compression based on prediction error and vector quantisation

Mohamed Uvaze Ahamed AyoobkhanC. EswaranKannan Ramakrishnan

Journal:   EURASIP Journal on Image and Video Processing Year: 2017 Vol: 2017 (1)
© 2026 ScienceGate Book Chapters — All rights reserved.