SRPH JOURNAL OF INTERDISCIPLINARY STUDIES
Year:2020 | Volume:2 | Issue:3|Papers Count:2

Gender recognition is one of the most interesting problems in face processing. Gender recognition can be used as a preprocessing phase in many applications. In this work we compare different approaches for gender recognition task, in accuracy and generalizing. First, we use principle component analysis (PCA) and discrete cosine transformation (DCT), for feature extraction and dimension reduction. Additionally, we used Bayesian approach and support vector machine (SVM) too. Finally, we compare these approaches in accuracy and generalizing.

In this paper, several techniques were Analysis in the design of comparators. One CMOS comparator sample is introduced. According to performed simulation, Threshold Inverter Quantization (TIQ) technique is with low manufacturing technology (45 micrometers) and high speed also limitation of adjustment of the suitable reference voltage for the systems within the chip; on the contrary, double tail Technique with low-speed responsiveness and high power in comparation with the other two types, has restriction of use in most of the ADCs. But the introduced circuit despite it has the more formation cost in comparison with the other two techniques but with low power (uW 82) and high speed of performance by taking advantage of kick back noise as well as low slew rate are useable for most of the ADCs used for medical equipments that are portable and need to low power.