Kaempferia parviflora Wall. ex Baker is a medicinal plant found in the upper Northeastern regions of Thailand, which belongs to Zingiberaceae family. The present study aims to investigate the standardization parameters, to analyze chemical constituents of volatile oil by gas chromatography-mass spectrometry, and to determine the content of 5,7-dimethoxyflavone in K. parviflora rhizomes by thin-...

Liquid-liquid extraction-thin layer chromatography (LLE-TLC) has been a common and routine combined method for detection of drugs in biological materials. Solid-phase extraction (SPE) is gradually replacing the traditional LLE method. High performance thin layer chromatography (HPTLC) has several advantages over TLC. The present work studied the higher efficiency of a new SPE-HPTLC method over ...

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...

A temporal logic for causality (Tlc) is introduced. The logic is interpreted over causal structures corresponding to partial order executions of programs. For causal structures describing the behavior of a nite xed set of processes, a Tlc-formula can, equivalently, be interpreted over their linearizations. The main result of the paper is a tableau construction that gives a singly-exponential tr...

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 ...

Fingerprint identification and verification are one of the most significant and reliable identification methods. It is impossible that two people have the same fingerprint. Automatics identification of humans based on fingerprint requires the input fingerprint to be match with a large number of fingerprints in the database. Generally, the fingerprint recognition systems are unable to solve the ...

The performance of an automatic fingerprint verification approach relies heavily on the quality of the fingerprint image. Enhancement of the fingerprint image is then a crucial step in automatic fingerprint verification. This paper discusses the fingerprint image processing methods for automatic verification and proposes an adaptive oriented low pass filter to enhance the fingerprint image qual...