recognition time

rec·og·ni·tion time

the interval between the application of a stimulus and the recognition of its nature.

rec·og·ni·tion time

(rekŏg-nishŭn tīm)
Interval between the application of a stimulus and recognition of its nature.
References in periodicals archive ?
The new smartphone delivers an elegant design with a full metal body and the fastest response fingerprint sensor technology recognition time (0.
For the easily-recognized samples, the number of training layers is less, so the recognition time is less.
The reason of this asymmetric recognition via accruals is associated with the accrual system's features, due to the fact that in the accrual system, the recognition time of both revenues and expenses is highly controlled by the managers.
One of the key benefits that continues to draw Janitronics to Findd's facial recognition time clock is how easy it is to deploy.
For some weak X-ray pulsars or background noise, the recognition time would be less than 1.
The performance of the SVM, k-NN and BPNN classifiers are compared with respect to the recognition rate and average recognition time for DCT, DWT and combined DCT-DWT features.
In addition, its high-speed computation capability can shorten the recognition time of pedestrians and vehicles.
The same steps were repeated for each test signature sample at recognition time using minimum distance classifier.
The swipe sensor is potentially more efficient than the Touch ID because of the cut in recognition time by a few milliseconds, not to mention that it will be embedded into the display of the S5 rather than in a home button as seen in iPhone 5S.
Face Recognition Rates of Traditional PCA Algorithm and Improved PCA Algorithm in ORL Recognition time 5 6 7 8 Number of training samples Traditional PCA Algorithm 1.
Experimental results shows that the proposed view-invariant color face image recognition system outperforms the conventional NMF, BDNMF and hypercomplex Gabor fllter in terms of consumption of enrollment time, recognition time and accuracy in classifying MPIK color face images which are view-invariant, noise influenced and scale invariant.
Such recognition time is acceptable for finding and localizing fault place.