Simple, accurate and precise UV spectrophotometric and chromatographic methods have been developed and validated for the determination of tiapride in its pharmaceutical formulation. The two analytical methods UV spectroscopy and HPTLC were developed and validated according to the experimental conditions of the study. The UV spectroscopic analysis was performed using methanol as solvent and dete...

A simple, rapid, and reliable HPTLC method has been established for simultaneous determination of Nebivolol and S-Amlodipine in pharmaceutical dosage forms. Identification and quantification were performed on silica gel 60 F254 HPTLC plates, prewashed with methanol, with chloroform:toluene:methanol:glacialacetic acid, (5:2:3:0.1, v/v/v/v), as mobile phase. This system furnished compact bands fo...

Fingerprint biometric is one of the most successful biometrics applied in both forensic law enforcement and security applications. Recent developments in fingerprint acquisition technology have resulted in touchless live scan devices that generate 3D representation of fingerprints, and thus can overcome the deformation and smearing problems caused by conventional contact-based acquisition techn...

Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification system. Because minutiae matching are certainly the most well-known and widely used method for fingerprint matching, minutiae are local discontinuities in the fingerprint pattern. In this paper a fingerprint matching algorithm is proposed using some specific feature of the minu...

Fingerprint is most popular and common biometric trait used for authentication. The fingerprint is a physiological biometric characteristic to identify person. Fingerprint recognition is the problem of searching a fingerprint in the reference database to find a fingerprint that matches a given fingerprint. For enhancing the performance and accuracy of biometric fingerprint recognition system on...

We present a deep artificial neural network (DANN) model that learns latent fingerprint image patches using a stack of Restricted Boltzmann Machines (RBMs), and uses it to perform segmentation of latent fingerprint images. Artificial neural networks (ANN) are biologically-inspired architectures that produce hierarchies of maps through learned weights or filters. Latent fingerprints are fingerpr...

Minutiae-based representation is the most widely adopted fingerprint representation scheme. The compactness of minutiae template has created an impression that the minutiae template does not contain sufficient information to allow the reconstruction of the original fingerprint image. This belief has now been shown to be false; several algorithms have been proposed that can reconstruct fingerpri...

In this paper we study that fingerprints are the oldest and most widely used form of biometric identification. The widespread use of fingerprints, there is little statistical theory on uniqueness of fingerprint minutiae. A critical step in study statistics of fingerprint minutiae is to reliably extract minutiae from the fingerprint images. Automatic and reliable extraction of minutiae from the ...

Dashmulakwatha, a preparation of Dashmula official in the Ayurvedic Formulary, was estimated for its phytosterol content by HPTLC method. The preparation was found to contain 7.165% W/W of phytosterols with respect to β-sitosterol as standard.