148 7.31 Results of face recognition rate % of classification methods on ORL 153 7.32 Results of face recognition rate % of classfication methods on FERET TRANG 21 LIST OF ABBREVIATIONS DC[r]
This non-linear equation can be solved by Levenberg-Marquadt approach as described in the book of Scales [Scales85]. We have used the 3D reconstructed locations of both eye pupil centers as well as left and right eye corner of both eyes as fitting locations. The[r]
The advantage of the genetic algorithm for this purpose is its flexibility in that it is possible to define the error func- tion in terms of any computable metric of overall system per- formance. For example, this could be biased toward a par- ticular combination of Type[r]
_Classifier combination scheme: product rule_ The product rule quantifies the likelihood of a hypothesis by combining the a posteriori probability generated by each in-dividual classifie[r]
It is becoming increasingly clear that similarities exist not only in the membrane-associated complexes responsible for translocating proteins across membranes in Eukarya, Bac- teria and Archaea [1,2], but also in the method by which extra-cytoplasmic proteins are targeted to these sit[r]
By using the iris recognition, a process of biometric passport authentication was presented in this paper by using the extended acces control, and allows integrate th[r]
Article 288, “Trade Favoring Sustainable Development,” contains recognition by the parties of the value of international cooperation in support of trade schemes and trade practices favor[r]
Lip-shape methods Lip-shape methods consider and process lips as a deformable object from which geometrical features can be derived, such as height, width openness of the mouth, position of lip cor- ners, and so forth. They are often based on fiducial points which need[r]
We investigated and tested carefully to find out the suitable window size and threshold values because the accuracy of the system depends on both of them. The window size is 20 samples and threshold th 4 = 1.4 m/s 2 are the best values that were[r]
6. Experimental Results In this section, the proposed MLBSS algorithm is evaluated and is also compared with traditional SS methods for speech recognition using a variety of experiments. In order to assess the e ff ectiveness of the proposed algorithm, speech recogn[r]
We use the simple left-right structure shown in Figure 6 for each HMM. In this structure, transitions are restricted from a current state S i only to the immediate next state S i + 1 or back to itself so that each fixed number of observations will be generally modeled by one state. The[r]
by solid phase methodology and obtained with purities and yields comparable to SP and [Pro9]SP [34]. Due to its inherent flexibility, SP is largely unstructured in water but helical conformation of the 4–8 domain is induced in lower dielectric constant solvents[r]
2.1. Total Returns Theory According to Milkovich and Newman 3 , Total Returns Theory is the driver of employee engagement. The theory divided in to two main categories; total compensation and relational returns. Total compensation include cash compensation such as base pay,[r]
Traditionally, innate immunity is first line of defence. These cells use multiprotein complexes called inflammasomes to produce proteins known as cytokines. The innate immune system plays a crucial role in the rapid recognition and elimination of invading microbes. The inflammasomes are large multip[r]
Note that for the complex wavelet-based Table 3: Face recognition performance for Gabor wavelets with different downsampling factors using FERET database and three different similarity mea[r]
PROCESS OF CRM_ _1.2.2.1 Credit Risk Recognition_ Credit risk recognition includes the steps of: •Monitoring TRANG 13 •Researching environmental activities and the lending process to cla[r]
Received 1 September 2006; Accepted 14 April 2007 Recommended by Ebroul Izquierdo The first step in an automatic face recognition system is to localize the face region in a cluttered background and carefully seg- ment the face from each frame of a v[r]
Figure 1: Simulation model. The best performing features set was the combination of the MFCC-based features and the RE feature. The RE fea- ture is very e ff ective at quantifying voiced speech which is quasi-periodic (relatively low entropy) and unvoiced speech which is often[r]
So far, biometric identification in general and facial recognition in particular are still being researched and developed for applying in several areas such as security, etc. In this paper, the authors study on some facial image recognition methods that have been researched and published in the worl[r]
In smart school, the identified features of smart classroom are the face recognition system; repositories of digital learning content and online (web) resources, learning po[r]