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@article{147558,
        author = {D.Thamaraiselvi},
        title = {Ant Colony Algorithm in Fingerprint Identification System },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {9},
        pages = {62-65},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=147558},
        abstract = {Fingerprint identification can be effectively applied in identity authentication, while there is a high rate of false rejection and false acceptance in traditional fingerprint identification method. An adaptive ant colony algorithm was present in this paper, by which the threshold was set. The image segmentation fingerprint sample image was devide to blocks in the client, and were sent to the server for matching. As the experimental results shown, the system can effectively improve the recognition rate of fingerprint remotely.},
        keywords = {component;internet of Things; Ant colony algorithm; Pheromone;},
        month = {},
        }