
doi: 10.5120/17299-7740
Biometric based techniques have emerged as the most promising option for recognizing individuals in recent years, for authenticating people and granting them access. Face recognition provide a biometric based authentication, authorization, surveillance services. Face recognition has gained increasing interest in the recent decade. Over the years there have been several techniques being developed to achieve high success rate of accuracy in the identification and verification of individuals for authentication in security systems. This paper proposes an adjacency matrix based approach for face recognition. The proposed approach was implemented in C and tested for different inputs.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
