Anita Khandizod | Dr. Babasaheb Ambedkar Marathwada University (original) (raw)

Papers by Anita Khandizod

Biometric spoofing is a method of fooling a biometric identification management system, where an ... more Biometric spoofing is a method of fooling a biometric identification management system, where an artificial object is presented to the biometric scanner that imitates the unique biological properties of a person which the system is designed to measure, so that the system will not be able to distinguish the artifact from the real biological target. Therefor existing biometric technology can be enhanced with a spectroscopy method. In this paper ASD field Spec 4 Spectroradiometer device is used to overcome this problem. In this paper preprocessing including smoothing like Moving Average, Savitzky-Golay, Median Filter, and then some descriptive statistical operation carried on preprocessed palmprint data. Recognition rate of the system was calculated by using correlation coefficient and the recognition rate of the proposed system is 77.56 %.

International journal of computer sciences and engineering, Feb 28, 2019

the intent of this paper is prediction of the salt content in agriculture soil. Soil salinity is ... more the intent of this paper is prediction of the salt content in agriculture soil. Soil salinity is a process which affects the quality of soil and reduces the agriculture production. The soil salt content adversely affects the soil physical property including soil water content. The Visible and Near-Infrared Reflectance Spectroscopy provides improved estimation of soil salinity as fast approach to the characterization of soil salt content with spectral resolution of 350-2500 nm. The Partial Least Square Regression Method (PLSR) is frequently used to determine Soil Salt Content (SSC) obtains from the spectral data. The Result shows that the 550nm, 850 nm, 1430nm, 1918nm, 2052nm wavelength which are sensitive to salt content and model based on Partial Least Square Regression PLSR can only make approximate predictions for First Derivative RMSE (Root Mean Square Error) = 0.0282-0.0365, R2 (Coefficient of Determination) = 0.9313-0.9051 and for Continuum Remove RMSE (Root Mean Square Error) = 0.0280-0.0386, R2 (Coefficient of Determination) = 0.9313-0.8939. Keywords— Spectral Data, Visible-NIR, Soil Salt Content (SSC), Partial Least Square Regression (PLSR).

Communications in computer and information science, 2019

Palmprint recognition system is a promising biometric technology which received extremely large i... more Palmprint recognition system is a promising biometric technology which received extremely large interest of researches. Many different algorithms and systems have been proposed and built. Although, great success has been achieved in palmprint research, however, the accuracy and spoofing mechanism are limited in some cases, as the palmprint feature may be similar for a given spectral illumination; hyperspectral Palmprint is a good recognition method to address this issue, it can provide more discriminate information under different illumination in a short time. Optimal band selection is a very important step to building hyperspectral palmprint recognition system. In this paper, for dimensionality reduction 2D2 LDA, is used on pre-processed palmprint images, for feature extraction 2D Gabor filter is being used, for pattern matching SVM, KNN classifiers are used. Experiment result showed that 2 spectral bands 700 nm and 960 nm could provide the highest recognition accuracy for hyperspectral palmprint recognition.

International journal of engineering research and technology, Apr 3, 2014

In our daily lives, there is a frequent need in identifying people correctly and verifying their ... more In our daily lives, there is a frequent need in identifying people correctly and verifying their identities, biometrics, is the solution and known to be the most reliable method and strong authentication technologies, with the increasing demand of biometric solutions for security systems, palmprint recognition a relatively novel but promising biometric technology. Although the study of palmprint recognition has a shorter history than fingerprint and face recognition, more attention has been directed towards this promising field. In recent years many research have obtained attention in Hand biometrics, including fingerprint, palmprint, and hand geometry and hand vein pattern, there are various types if technique are used although all of them use white light as the illumination source, there is no work systematically evaluating whether white light color illumination is the optimal choice for palmprint recognition this issue, is address by using the multispectral palmprint consist Red, Green, Blue, and NIR these 4 different types of illumination. In this paper, comparative study of several feature level multispectral palm image fusion approaches is conducted. Among others, wavelet transform based image fusion is found to perform best in preserving discriminative patterns from multispectral palm images.

Lecture notes in networks and systems, Nov 8, 2017

Automatic person identification is possible through many biometric techniques which provide easy ... more Automatic person identification is possible through many biometric techniques which provide easy solution like identification and verification. But there may be chances of spoofing attack against biometric system. Biometric devices can also be spoofed artificially by plastic palmprint, copy medium to provide a false biometric signature, etc., so existing biometric technology can be enhanced with a spectroscopy method. In this paper, ASD FieldSpec 4 Spectroradiometer is used to overcome this problem, the palmprint spectral signatures of every person are unique in nature. Preprocessing technique including smoothing was done on the palmprint spectra to remove the noise. Statistical analysis were done on preprocessed spectra, FAR (False acceptance Rate), and FRR (False Rejection Rate) values against different threshold values were obtained and equal error rate was acquired. EER of the system is approximately 12% and the verification threshold 0.12.

International journal of computer applications, Jul 18, 2015

Image Enhancement is one of the most important and difficult techniques, also the first stage in ... more Image Enhancement is one of the most important and difficult techniques, also the first stage in the pre-processing of images which have to be subjected to image recognition algorithms. The goal of image enhancement is to improve the quality of images. Palmprint image quality is an important factor in the performance of hyperspectral palmprint recognition system. To the best of knowledge there is no evidence of work specifically directed towards image enhancement techniques on hyperspectral palm print images. In this paper different thirteen types of image enhancement techniques are compared based on image quality measure (subjective and objective), subjective image quality measure based on histogram and objective quality measure is based on mean square error (MSE), Peak signal to noise ratio (PSNR), Normalized cross correlation (NK), Average difference (AD), Structural content (SC), Maximum difference (MD), Normalized absolute error (NAE). Such a comparison would be useful in determining the best suited image enhancement method for hyperspectral palmprint. Median filter gives good performance as compare to other image enhancement techniques. The performance of different thirteen image enhancement techniques are tested on PolyU hyperspectral palmprint database. The comparative results are tabled.

International Journal of Heat and Mass Transfer, 2020

In this paper, a corrugated plate heat exchanger in solar energy systems is used to investigate h... more In this paper, a corrugated plate heat exchanger in solar energy systems is used to investigate heat transfer and fluid flow characteristics of various nanofluids. By adding various nanoparticles (Al 2 O 3-30 nm, SiC-40 nm, CuO-30 nm and Fe 3 O 4-25 nm) into the base fluid, effects of nanofluid types and particle concentrations (0.05 wt.%, 0.1 wt.%, 0.5 wt.% and 1.0 wt.%) on the thermal performance of the plate heat exchanger are analyzed at flow rates in the range of 3-9 L/min. Results indicate that both heat transfer enhancement and pressure drop for nanofluids show significant increases compared to the base fluid. The Fe 3 O 4-water and CuO-water nanofluids show the best and the worst thermal performances of the plate heat exchanger, respectively. When 1.0 wt.% Fe 3 O 4-water nanofluid is used as the working fluid, compared to DI-water, the convective heat transfer coefficient is increased by 21.9%. However, an increase of 10.1% in pressure drop is obtained for the 1.0 wt.% Fe 3 O 4-water nanofluid. Finally, empirical formulas of experimental Nusselt number are obtained based on the experimental data. A new way to predict the thermal performance for various nanofluids in heat transfer systems is provided.

Personal identification problem has been a major field of research in recent years, Biometrics-ba... more Personal identification problem has been a major field of research in recent years, Biometrics-based technologies that exploit fingerprints, iris, face, voice and palmprints, have been in the center of attention to solve this problem .Palmprint based biometric method has gained high impact over the other biometric methods due to its ease of acquisition, reliability and high client acceptance. This paper present fusion of Multispectral palmprint images using wavelet decomposition for personnel identity verification, for that purpose Polytechnic Hong Kong University database is used. The objective of image fusion is to combine information from multiple images of the same scene. The result of image fusion is a new image which is more informative. And complete than any of the input image. Wavelet-based image fusion method is used as fusion strategy in our schema we have done fusion of Approximation Coefficient of RGB, NIR images, got the fused image by applying the DWT technique, to dec...

International Journal of Computer Sciences and Engineering, 2019

Lecture Notes in Networks and Systems, Nov 8, 2017

International Journal of Computer Applications, Jul 18, 2015

Palmprint recognition has received a lot of research attention and many systems have been propose... more Palmprint recognition has received a lot of research attention and many systems have been proposed, most of the previous works use the white light sources for illumination. Recognition accuracy and anti-spoof capability is limited. Multispectral palmprint is a good technique to address these issues; the multispectral palmprint sensors typically collect spectral information in a Red peaking 660nm, Green peaking at 525nm, blue 470nm and NIR peaking at 880nm, selected discrete spectral bands, but which spectral band gives more discriminative information for that multispectral palmprint database is not sufficient, this problem is solved by hyperspectral Palmprint, which collects spectral information 420nm~1100nm, which could provide more discriminative information as compare to multispectral palmprint recognition. Optimized band selection could not only reduce the cost of illumination sources, reduce the data storage amount and save the computational time and improve the recognition acc...

Palmprint is important member of biometric family, different types of algorithms and system have ... more Palmprint is important member of biometric family, different types of algorithms and system have been proposed and great success has been achieved in Palmprint research, most of the previous Palmprint recognition works use white light source of illumination, which does not highlights the more feature these problem is solved by spectral band of multispectral Palmprint. This paper present feature level image fusion of multispectral Palmprint images for that purpose Polytechnique Hongkong University database is used. Initially the images were subjected to some preprocessing operation like filtering. Wavelet theory is introduced to resolve the Palmprint features extraction problem, and for matching purpose distance matrix is calculated by using Euclidian distance. Wavelet-based image fusion method is used as fusion strategy in our schema we have done fusion of Approximation Coefficient of RGB, NIR images, got the fused image by applying the DWT technique, to reduce the high dimensionality 2 nd order derivatives is convolved with fused image. The threshold value range decided with maximum and minimum distance of two images, and we found that, as we increased the threshold FAR will be increased and FRR will be decreased, as well as the recognition rate will be increased. We have to select recognition rate where false acceptance and rejection are low. At a given threshold a biometric system that gives low FAR and low FRR is good one. So in our experiments at the threshold value 0.33 gives the 90% recognition rate.