Mahendra Engineering College for Women

Tiruchengode, India

Mahendra Engineering College for Women

Tiruchengode, India
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Ilayabarathi P.,Bharathiar University | Maadeswaran P.,KS Rangasamy College of Technology | Leelavathi R.,Mahendra Engineering College for Women
Optoelectronics and Advanced Materials, Rapid Communications | Year: 2013

Semiorganic crystals of Thiourea barium (zinc) chloride (TBZC) were successfully grown by slow evaporation technique at room temperature. Studies on structural, optical properties of the crystal were carried out. Elemental analysis was confirmed the stoichiometric ratio. Powder X-ray diffraction (PXRD) analysis confirms the crystalline nature and purity. FT-IR spectrum confirms the presence of vibration molecules. Optical transmittance property was carried out by using UV-Visible spectrometer. Dielectric constant was measured for various frequencies as a function of temperature. Microhardness test has been measured the hardness of crystal.

Kanchana A.,Mahendra Engineering College for Women
Asian Journal of Information Technology | Year: 2014

Biometric Recognition Method provides a greater recognition rate, superior effectiveness and makes the user operating more comfortable. Palm print recognition is considered the most feasible and consistent biometric recognition technique remaining to its merits such as low cost, user sociability with high speed and high accuracy. Advanced and fast correlation based feature for palm print recognition based on modified correlation filter classifier with spatial entities identifies more line features of the palm print veiy efficiently and in a stochastic manner but fails to adapt the texture variance. To overcome the above issue to implement a new technique termed Palm print Texture Recognition using the Connected-section Morphological Segmentation (PTR-CMS) for effective adaptation of texture variance and to remove the noise from palm print recognition. PTR-CMS technique is to reliably segment the images to smaller regions from the captured images. The proposed scheme is evaluated in terms of segmented regional texture variance based on the partition size and average equal error rate. Connected-section morphological segmentation (PTR-CMS) technique considers the problem of which fails to provide texture variance. An analytical and empirical result shows the lesser false acceptance rate with the efficient adaptation of the texture variance of our proposed scheme. © Medwell Journals, 2014.

Kanchana A.,Mahendra Engineering college for women | Arumugam S.,Nandha Engineering College Erode
International Journal of Applied Engineering Research | Year: 2015

Palmprint based biometric recognition has proven to be a reliable source of pattern matching between the tests and training images with variety of features. Recently, the Palm print biometric system is fast and reliable on correct matches but longer key based matching was not exhibited. The shorter key distribution is not effective on detecting the correlation pattern matching output. On the other hand, managing the non-linear deformation palm print is a crucial task since the matching rate is affected especially on minutiae, orientation, and density mapping. A better classifier index and matching method is needed to be employed on the palmprint biometric recognition system. In this paper, Diffie–Hellman-Merkle (DHM) Longer Key Exchange based Palmprint Pattern Matching method is employed. DHM based palmprint pattern matching comprises of three processes. Initial process, palmprint image classification is carried out using the Mahalanobis distance based classifier. Then the classified palmprint image is segmented based on the Higher Order Neighborhood Statistical (HONS) approach. Proposed HONS approach in the second process performs the morphological palmprint image segmentation on different non-linear deformation texture variance. Final processing step is the decision control process (i.e.,) pattern matching on minutiae, orientation, and density. Diffie–Hellman-Merkle longer key set is used to exchange between the two ends of the communication channel to improve the matching rate. The pattern matching rate in Diffie–Hellman-Merkle method essentially consists of finding the best matching between the template (i.e., stored palmprint image in database) and test user palmprint image. Experiment is conducted on factors such as false rejection rate, palmprint matching rate, rate of classification errors. © Research India Publications.

Nirmala K.,Mahendra Engineering College for Women | Muthuraj R.,P.A. College | Srinivas S.,Vellore Institute of Technology | Immaculate D.L.,The American College
JP Journal of Heat and Mass Transfer | Year: 2015

This paper investigates peristaltic motion of an MHD Jeffrey fluid in a vertical asymmetric channel with wall slip and Hall current. The channel asymmetry is caused due to peristaltic wave train on the walls having different amplitudes and phase. Assumptions of long wavelength and low Reynolds number are used to obtain solution for the problem. Closed form expressions for the stream function, temperature and concentration are developed. Pressure rise per wavelength and frictional forces on the channel walls have been computed numerically. The physical significance of interesting parameters on heat and mass transfer characteristics of the fluid flow is shown through graphs and discussed in detail. © 2015 Pushpa Publishing House, Allahabad, India.

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