Research Paper | Computer Science & Engineering | India | Volume 2 Issue 11, November 2013
Fingerprint Identification using Fusion of Pores and Minutiae Extraction at different Resolutions
Mahak Arora, Veenu Sharma
In the presented work, it is proposed to enhance the finger print image quality based on an adaptive fingerprint enhancement method that is based on contextual filtering. The term adaptive implies that parameters of the method are automatically adjusted based on the input fingerprint image. Once the finger print image is enhanced at the required level, the pores are extracted based on segmentation of the finger print image by eliminating the finger print area above a threshold limit. The pores location and then inter-distances are computed and stored in a data base. Further, the minutiae are extracted and again their location and inter-distances are computed and stored in a data base. Same procedure is repeated for the query image and standard deviation is computed between the inter-distance of the query image and data base images. The finger print information based on pores and minutiae are fused together in order to get the matching score.
Keywords: Fingerprint identification, image processing, contextual filtering, minutiae
Edition: Volume 2 Issue 11, November 2013
Pages: 408 - 411
How to Cite this Article?
Mahak Arora, Veenu Sharma, "Fingerprint Identification using Fusion of Pores and Minutiae Extraction at different Resolutions", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=14111302, Volume 2 Issue 11, November 2013, 408 - 411
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