Visual impairment and blindness in people is a factor that greatly reduces mobility among them . With the recent advances in technology it is possible to extend the support given to people with visual impairment and blindness during their mobility This paper proposes a new view about biometric instrument for blind peoples to sense and detect obstacles. A device is designed so that the blind people will be able to walk without any white cane. The aim of this paper is to provide an obstacle identifier to blind persons, so that they can able to cross through the obstacles easily without their walking stick. They are provided with spectacles to wear on, which are embedded with ultrasonic distance measurement scale equipment and a camera with a headphone. The proposed device is based upon the target finding using ultrasonic sound. The camera in the device helps to identify the person and to re- call from the individual's memory, when the person re-appears before him. The advantage of this paper is that the device proposed need not be carried with pain. The proposed device will be more users friendly. The accuracy level of identifying the target is also improved.

1. Dakopoulos, D. and Bourbakis, N. G. 2010. Wearable Obstacle Avoidance Electronic Travel Aids for Blind: A Survey. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
2. Dunai, L. , Peris Fajarnes, G. , Santiago Praderas, V. and Defez Garcia, B. (2011). Electronic Travel Aid systems for visually impaired people. Proceedings of DRT4ALL 2011 Conference, IV Congreso
3. Internacional de Diseño, Redes de Investigación y Tecnología para Todos, Madrid, Spain.
4. Brabyn J. A. , (1982) "New developments in mobility and orientation aids for the blind", IEEE Transactions on Biomedical Engineering, vol. 29, no. 4, April 1982, pp 285-289.
5. Xiaoyang, T. , Songcan, C. , Zhi-Hu, Z. and Fuyan Zhang. , Face Recognition from a Single Image per Person, IEEE Computer Vision Survey, Vol. 4, Issue 12, March, 2006.
6. Moghaddam, B. and Pentland, A. , Bayesian Image Retrieval in Biometric Databases, IEEE International Conference on Multimedia Computing and Systems, Vol. 2, Issue Jul, pp. 610- 615, 1999.
7. Soutar, C. , Biometric System Performance and Security,http://www. bioscrypt. com/assets/bio_pa per. pdf. Retrieved on 9th October, 2009.
8. Andrea, F. A. , Michele, N. , Daniel, Riccio, and Gabriele, Sabatino. , 2D and 3D Face Recognition:A Survey, IEEE Computer Vision, Vol. 3, January,2005.

Ultrasonic Distance Measurement Scale Camera Headphone Principle Component Analysis