Face recognition is the simplest person identification method. Face has been has been chosen as modality for person identification owning to its simplicity in implementation as well as being a noninvasive method in achieving results. Besides its popularity, face recognition still faces issues on its accuracy. It has been observed that while using principal component analysis on varying ambient illumination, recognition accuracy reduces whereas using local binary pattern gives 100% accuracy. For classification, support vector machine is adopted as classifier. The system utilises Yaledatabase and ORL database for experimental results.