Implementation of Face Recognition Using STASM and Matching Algorithm for Differing Pose and Brightness

  Chaitra K,  Savitha G,  Dr.Vibha L

A very important aspect of security is the identification of an individual. The identification techniques used may differ according to conveniences and requirements. The identification of an individual person may be carried out by traditional means like passwords, identity cards etc, but these can be easily misused. Hence a better way of identifying an individual is by using biometric verification. The biometric verification involves identification of an individual based on physiological and behavioral features. The physiological features include face, iris, finger print etc, and behavioral features include signature and voice, which are unique to a person. Human face recognition is one among the best techniques used to identify an individual person. Verification of driving license, user verification and improved human-PC collaboration all get to be conceivable just if a powerful face recognition framework can be executed. Face images have been in use for authentication since long because of their high immutability, individuality and acceptability. Immutability refers to the consistency of the face images over time and individuality refers to the uniqueness. Accurate face recognition system is the problem encountered in the field of biometric identification. The existing approaches called PCA (Principal Component Analysis), ICA (Independent Component Analysis) and LDA (Linear Discriminant Analysis) do not carry out the recognition to the face images captured in unprincipled settings. The proposed method uses the model-based algorithm for face recognition in unprincipled settings. STASM (Extended Active Shape Model) algorithm is utilized to position points on the face images. Using the points pose normalization is carried out. Then Matching algorithm is used for matching image with input face image and image in database. FERET database is used to train the system.

Keywords- Biometric identification, Immutability, Individuality, STASM, Matching algorithm.

Unique Identification Number - IJEDR1502233
Page Number(s) - 1431-1435
Pubished in - Volume 3 | Issue 2 | May 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Chaitra K,  Savitha G,  Dr.Vibha L,   "Implementation of Face Recognition Using STASM and Matching Algorithm for Differing Pose and Brightness ", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 2, pp.1431-1435, May 2015, Available at :http://www.ijedr.org/papers/IJEDR1502233.pdf