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In this paper the suitability of Dual Tree Complex Wavelet Transform for Face Recognition is studied. In contrast to the discrete wavelet transform (DWT), the design of Dual Tree Complex Wavelet Transform poses good directional properties for diagonal features and is rugged to shift Invariance. These features of DT-CWT motivated to study their suitability for Face Feature Extraction and Recognition, as the features of face are oriented in different directions. In this work the image is decomposed using DT-CWT to produce eight complex sub-bands and the features are extracted from the magnitude of low frequency band (LL) using Principal Component analysis (PCA). ORL database is used, as the database consists of variation in pose and expression. Recognition rate achieved on ORL database using DT-CWT is satisfactory.