Face Recognition Using Multi-Resolution Transform

Kannan, K.; Perumal, S. Arumuga

doi:10.1109/iccima.2007.318

Cited by 13 publications

(4 citation statements)

References 8 publications

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“…In [31] Arivazhagan, Mumtaj & Ganesan Used Multiresolution Transform such as, Gabor Wavelet Transform. The Gabor Wavelet was used to extract spatial frequency, the spatial locality & the orientation selectivity from the faces irrespective of variations in expressions, illumination & pose & then the Normalization was done.…”

Section: Gabormentioning

confidence: 99%

A Comprehensive Survey of Palmprint based Biometric Verification System

Gupta¹,

Namdeo²,

Chourey³

2017

International Journal of Advanced Research in Computer and Comm

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As an emerging biometric technology, palmprint recognition technology has been researched widely and developed rapidly, which is well known for its high verification accuracy, low-price capture device, high reliability and user acceptance. During this instance of time, several different glitches related to palmprint recognition have been addressed. Furthermost of the studies has been done in palmprint recognition due to its stability, reliability and exclusivity. Furthermore, it has been used for law enforcement, civil applications and access control applications. Researchers have proposed a variety of palmprint pre-processing, feature extraction and matching approaches. This paper deliberates and review about the number of investigation works introduced to overcome the difficulties confronted in each stage of palm print verification. Our study on palm print recognition focuses on verifying the palm print in different types of schemes involved.

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Section: Gabormentioning

confidence: 99%

A Comprehensive Survey of Palmprint based Biometric Verification System

Gupta¹,

Namdeo²,

Chourey³

2017

International Journal of Advanced Research in Computer and Comm

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“…Gonzalez & Castro [17] have proposed another method based on a Gabor filter which uses Shape driven Gabor Jets for face description and Authentication. Arivazhagan, Mumtaj and Ganesan [18] used Multi resolution Transform such as, Gabor Wavelet Transform. Gabor Wavelet was used to extract the spatial frequency, spatial locality and orientation selectivity from faces irrespective of the variations in the expressions, illumination and pose & then Normalization were done.…”

Section: Literature Surveymentioning

confidence: 99%

“…The hybrid of DCT and DKT gives best results among the combination of four transforms used for generating hybrid wavelet transforms. Deepa T and Girisha H [18] have generated hybrid wavelet transform using orthogonal component transform. DCT for global properties and for local properties varied transforms are used.…”

Section: Literature Surveymentioning

confidence: 99%

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Hyperspectral Face Recognition by Texture Feature Extraction Using Hybrid Wavelets Type I &amp; Ii and Kekre Wavelet Transform

Vartak¹,

Bharadi²

2015

2015 International Conference on Computing Communication Control and Automation

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Distinct from other normal images, hyperspectral images consist of huge data, but its analysis requires deep understanding of exactly of what properties are to be measured and their relation to the actual measurements made by Hyperspectral sensor. With the enhancement and obtainability of such Hyperspectral face data has increased the possibility of building such systems. The emphasis of this research is to recognize hyperspectral face images and compare the results obtained from the implementation of Multimodal system. The implementation of this System is based on three main texture feature extraction techniques. Hybrid Wavelet Type I (HWI), Hybrid Wavelet Type II (HWII) and Kekre Wavelet (KW) are used to generate these Multi Resolution Analysis based Feature Vectors. These Feature vector databases are then put through Intra Class testing And Inter Class Testing and their performance is evaluated and compared with existing systems. Proposed system has given up to 77% of EER for TAR-TRR (PI) for the multimodal implementation.

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