American Journal of Computer Science and Engineering Survey www.pubicon.co.in Case Report Data Tracking Quadrature Condition Using Joint Histogram Method Arash Kalami* Department of Electrical Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran ABSTRACT To use the characteristic points of the image is an excellent choice for accurate monitoring data. The main disadvantages are that the properties of the monitoring body easily affected by noise and the data must often large enough to facilitate the monitoring to be dimensioned. In contrast, the facial features Gabor jet features are better than other types of functions of mother wavelets. This paper shows a novel filter for Joint Histogram Method. Keywords: Joint histogram method, Monitoring, Mother wavelets, Noise. INTRODUCTION Dense facilitates movement information to detect the data. E 'possible smooth bi-orthogonal wavelet has compact support, the 1-3 is either symmetric or asymmetric to construct. An important constraint is that the estimation of the optical flow is subject to the action of the opening and does not allow for large movements in general. Symmetric or asymmetric wavelets are synthesized with linear phase perfect reconstruction filter 2-4 . A new generalized divergence measure is proposed. We show the convexity of the divergent action, passes its maximum value, and to analyze their upper limits in respect of the Bayes-error in statistical pattern recognition. For the deviation basis a new method is presented to image registration problem 5 . This is indicated by the deviation, the statistical dependence between successive image, and the maximum is achieved when the images geometrically aligned measure. This is a desirable feature for many applications. Bi-orthogonal wavelets are formed with a minimum size of the beam introduced by a technique similar to the design of the Daubechies wavelets. For example, the coefficients of the filter of perfect reconstruction spline with compact support for symmetric and asymmetric bi- orthogonal wavelet wavelets. Lifting is a modification of elementary perfect reconstruction filter is used to improve the properties of the wavelet 2 . Bi-orthogonal wavelet bases with compact support can be built fairly finite impulse response filter, which the hare biorthogonal filter of the hand, said to be two-fold. identifies all filters of compact support, are dual. Filter with finite support 4-5 . A filter with finite support and duplicate only when there is a finite filter that this theory is that when the Address for Correspondence Department of Electrical Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran. E-mail: Ar.kalami@gmail.com