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@article{146977,
        author = {K.SELVAMALATHI},
        title = {SLAP FINGERPRINT SEGMENTATION USING SYMMETRIC FILTERS BASED QUALITY},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {2},
        pages = {679-684},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146977},
        abstract = {This presents a novel approach in segmenting multiple fingerprints from an image. Such an image is taken by a scanner capable of recording several fingers simultaneously. In the existing System, Entropy of the image is used to determine different components of fingers, while geometrical and spatial properties of these components are considered to segment fingerprints from the slap image.In the Proposed algorithm divides each slap image into non-overlapping square blocks and identifies foreground and background blocks using average pixel intensity in that block. Blocks are joined to find the foreground block’s connected components. Finally clusters containing finger-tips are selected using geometric characteristics of a finger. It is defined by using symmetric filters which measure the uniformity in ridge-valley structure irrespective of linear or curved pattern. Some of the remaining non-fingerprint components are removed by using geometrical locations. . It makes use of a new distance measure to index these fingerprint components. It has been tested on a database of 6,096 images of 1,016 subjects, which has accurately segment each slap image into four fingerprints.},
        keywords = {Geometry, Authentication, Image segmentation, Algorithm design and analysis, Clustering algorithms, Indexes, Labeling},
        month = {},
        }