Fingerprint image: pre- and post-processing

@article{Akram2008FingerprintIP,
  title={Fingerprint image: pre- and post-processing},
  author={Muhammad Usman Akram and Anam Tariq and Shoab Ahmad Khan and Sarwat Nasir},
  journal={Int. J. Biom.},
  year={2008},
  volume={1},
  pages={63-80}
}
Automatic Fingerprint Identification Systems (AFIS) are widely used for personal identification due to uniqueness of fingerprints. Minutiae-based fingerprint matching techniques are normally used for fingerprint matching. Fingerprint matching results and their accuracy depends on presence of valid minutiae. In this paper, we present a new technique for fingerprint image post-processing. This post-processing is used to eliminate a large number of false extracted minutiae from skeletonised… 
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Computerized system for fingerprint identification for biometric security
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  • Computer Science
    2011 IEEE 14th International Multitopic Conference
  • 2011
TLDR
A novel automated approach for fingerprint matching, which involve three steps and shows a good performance to differentiate matching and non- matching minutiae pairs and also reduce the computational cost and matching error.
Minutiae Extraction from Fingerprint Images - a Review
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This paper presents a review of a large number of techniques present in the literature for extracting fingerprint minutiae, broadly classified as those working on binarized images and those that work on gray scale images directly.
Effective Morphological Extraction of True Fingerprint Minutiae based on the Hit or Miss Transform
TLDR
This paper has developed and tested structuring elements for different types of minutiae present in a fingerprint image to be used by the HMT after preprocessing the image with morphological operators, which results in efficientminutiae detection, thereby saving a lot of effort in the post processing stage.
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TLDR
A features mapping approach to fingerprint pattern recognition and matching is presented with the distance between the minutiae and core points used for determining the pattern matching scores of fingerprint images revealed that the ability of the algorithm to match images obtained from same source is dependent on the qualities of such images.
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This study proposes a singular-minutiae points relationship-based algorithm for addressing the problem of alignment of two minutiae feature vectors in fingerprint matching and shows very good performance of the new algorithm.
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  • A. Tariq, M. Akram, S. Khan
  • Computer Science
    2011 International Conference for Internet Technology and Secured Transactions
  • 2011
TLDR
A new classification technique based on the detection of singular points (core and delta points) consisting of four stages is proposed and results show a significant improvement in classification of different types of fingerprints.
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The proposed algorithm sharpens the edges and features by using prewitt mask followed by Gabor wavelet in order to enhance the feature of sharpened image and is effective in enhancing the fingerprint image quality.
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The design and implementation of a fingerprint verification system that is capable of segmentation, fingerprint enhancement using Gabor filters, thinning, minutiae extraction, classification and matching and all steps except enhancement were found to be effective.
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  • Computer Science
    International Journal of Applied Engineering and Management Letters
  • 2017
TLDR
The Edge prediction based thinning process is explained with the help of workflow, algorithm, and flowchart to explain the Edge Prediction based Skelton formation.
Reconstruction of fingerprint images
  • R. Malik, A. Masood
  • Computer Science
    2010 IEEE 9th International Conference on Cyberntic Intelligent Systems
  • 2010
TLDR
A novel approach of fully reconstructing the fingerprint images besides using merely the traditional procedures of fingerprint enhancement is presented, which would not only improve the quality of the skeleton image but also increase the accuracy of minutiae extraction and thereby improve the recognition results.
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