Enhancement of Fingerprint Using FFT×|FFT|n Filter

Neethu, S.; Sreelakshmi, S.; Sankar, Deepa

doi:10.1016/j.procs.2015.02.083

Cited by 11 publications

(20 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The author also states that if the magnitude scale of the FFT is squared, power or cubed, an image will be still better.The enhancement step involves contrast, histogram equalization, binarzation and then finally filtered using FFT. [1] Subba Reddy Borra et al, proposed methodology using three modules. In the first module the fingerprint is subject to denoising process using Wave Atom transform, then in the second module image is enhanced using an optimization algorithm namely Modified Cuckoo search.…”

Section: Literature Surveymentioning

confidence: 99%

“…Fingerprint recognition is one of the primary tasks of the Integrated Automated Fingerprint Identification Service (IAFIS). [1] it contains fingerprint classification, fingerprint enhancement, and fingerprint matching. A fingerprint is referred as an outline of interleaved ridges and valleys on the tip of the finger.…”

Section: Introductionmentioning

confidence: 99%

“…An important aspect of every research done in image processing must require a reliable and standard input image. [1] In practice, the clamor might adulterate the fingerprint. This defilement may prompt the awful print and decrease the effectiveness of the outcome.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Enhancement of fingerprint image using wiener filter

Devi¹,

Sujatha²

2017

IJET

View full text Add to dashboard Cite

A fingerprint is one of the most vital Biometric traits used for Personal Identification. To identify and match the fingerprint accurately, it has to be enhanced efficiently. In this paper, an efficient fingerprint enhancement technique is adopted and compared with the existing methods. The proposed methodology consists of three Phases. In the first phase, the fingerprint is subjected to the de-noising process. After adding noise such as salt and pepper, Gaussian and speckle noise, the image is blurred. In the second phase, the fingerprint is filtered with Wiener filter and then de-blurred. In the third, the filtered image is further enhanced for more clarity. The paper emphasizes, the fingerprint preprocessing followed with the enhancement produces better quality image. The performance of the proposed methodology is compared and evaluated using two performances measures namely Peak-Signal-Noise –Ratio and Mean Squared Error using Matlab R2013a.

show abstract

Section: Literature Surveymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Enhancement of fingerprint image using wiener filter

Devi¹,

Sujatha²

2017

IJET

View full text Add to dashboard Cite

show abstract

“…Such spatial variation induces identifiable signals received at the fixed coil. After recording signals from a set of known elbow angles as a “fingerprint” characteristic database, the measured unknown angle can be identified with the aid of the calibrated characteristic fingerprint data …”

Section: Introductionmentioning

confidence: 99%

“…After recording signals from a set of known elbow angles as a "fingerprint" characteristic database, the measured unknown angle can be identified with the aid of the calibrated characteristic fingerprint data. 21 Thanks to the developing flexible electronics, it is possible to utilize the flexible antenna directly as an efficient sensor. The dual-roles of the antenna sensor will become even more powerful with the promoted central processing unit (CPU) performance and memory capability.…”

Section: Introductionmentioning

confidence: 99%

A radio frequency‐based antenna sensor as a protractor

2019

Micro & Optical Tech Letters

View full text Add to dashboard Cite

An antenna sensor is proposed to play dual role of a functional antenna and a sensor in a wireless sensor system, in an effort to reduce data loss and to increase transmission rate by eliminating a certain interface. A function of protractor was implemented on the coil antenna, working at radio frequency, to demonstrate the antenna sensor. The coil antenna was made of a copper wire with a wire diameter of 1 mm and had a coil diameter of 60 mm. With the impedance matching for the antenna designed at a resonant frequency of 43 MHz, a signal composed of multiple waves at shifted frequencies was transmitted from a mixer to the bent coil sensor, which acts as the emitting antenna. Upon received at the receiver coil, the signal was analyzed using the fast Fourier transform (FFT) algorithm. The received frequency‐domain signals were used to establish the characteristic matrix for the antenna sensor during a calibration process. The characteristic matrix becomes the fingerprint pattern to identify test angle of the bent coil sensor through the calculation of the Euclidean distance based upon the k nearest neighbor (kNN) classifier of the machine learning. The results showed that all the 16 test angles were identified accurately in the correct angle range.

show abstract