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A New Alignment Free Method for Phylogenetic Tree Construction
Geetika Munjal,Madasu Hanmandlu,Deepti Gaur 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.6
In this paper various methods of sequence analysis which include the alignment based and alignment free methods of tree generation are reviewed and these find distance/similarity among the sequences of different species. Alignment free method based on tuple count and set theory is proposed and the results are compared with the guide tree obtained using alignment based method. The proposed method is tested on DNA sequence of length below 1000bp (dataset1) and Sequence of length above 16000bp (dataset2). It achieves the similar performance as that of the alignment based method but without the alignment phase.
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A Robust Fingerprint Matching System Using Orientation Features
Kumar, Ravinder,Chandra, Pravin,Hanmandlu, Madasu Korea Information Processing Society 2016 Journal of information processing systems Vol.12 No.1
The latest research on the image-based fingerprint matching approaches indicates that they are less complex than the minutiae-based approaches when it comes to dealing with low quality images. Most of the approaches in the literature are not robust to fingerprint rotation and translation. In this paper, we develop a robust fingerprint matching system by extracting the circular region of interest (ROI) of a radius of 50 pixels centered at the core point. Maximizing their orientation correlation aligns two fingerprints that are to be matched. The modified Euclidean distance computed between the extracted orientation features of the sample and query images is used for matching. Extensive experiments were conducted over four benchmark fingerprint datasets of FVC2002 and two other proprietary databases of RFVC 2002 and the AITDB. The experimental results show the superiority of our proposed method over the well-known image-based approaches in the literature.
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A Robust Fingerprint Matching System Using Orientation Features
( Ravinder Kumar ),( Pravin Chandra ),( Madasu Hanmandlu ) 한국정보처리학회 2016 Journal of information processing systems Vol.12 No.1
The latest research on the image-based fingerprint matching approaches indicates that they are less complex than the minutiae-based approaches when it comes to dealing with low quality images. Most of the approaches in the literature are not robust to fingerprint rotation and translation. In this paper, we develop a robust fingerprint matching system by extracting the circular region of interest (ROI) of a radius of 50 pixels centered at the core point. Maximizing their orientation correlation aligns two fingerprints that are to be matched. The modified Euclidean distance computed between the extracted orientation features of the sample and query images is used for matching. Extensive experiments were conducted over four benchmark fingerprint datasets of FVC2002 and two other proprietary databases of RFVC 2002 and the AITDB. The experimental results show the superiority of our proposed method over the well-known image-based approaches in the literature.
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