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@article{153759,
        author = {SAPNA SHARMA and Dr. Shikha Lohchab},
        title = {Extract an Effective  Region of Interest using  Automated Thresholding for Finger Vein Biometric},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {8},
        pages = {482-488},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=153759},
        abstract = {The development in the consumer’s electronics demands for high security, accuracy and high speed of authentication. Human behavioral and physiological features in biometric have a large scope at providing solutions for security issues. Finger vein based personal authentication provides a better degree of security that protects information and control access much better. To explore the effective region from the acquired finger vein image, we proposed an identification of region of interest (ROI) based on automated thresholding. It is usually composed of finger region segmentation, image orientation correction, and ROI detection. In this paper we have used image pre-processing, batch processing and thresholding transformation concepts to extract meaningful ROI. The proposed automated thresholding to detect the ROI of the image has been studied, implemented and tested over the SDUMLA-HMT database.},
        keywords = {Edge detection, Histogram, Region of interest, Segmentation, Thresholding.},
        month = {},
        }