A Study on Image Enhancement Techniques for Fingerprint Identification

Fingerprint Identification Using Image Enhancement Techniques

Journal of Forensic Sciences ◽

10.1520/jfs16202j ◽

1998 ◽

Vol 43 (3) ◽

pp. 16202J ◽

Cited By ~ 5

Author(s):

Emilce Moler ◽

Virginia Ballarin ◽

Franco Pessana ◽

Sebastian Torres ◽

Dario Olmo

Keyword(s):

Image Enhancement ◽

Fingerprint Identification

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Image enhancement for minutiae-based fingerprint identification

2008 37th IEEE Applied Imagery Pattern Recognition Workshop ◽

10.1109/aipr.2008.4906466 ◽

2008 ◽

Cited By ~ 1

Author(s):

M. Sepasian ◽

C. Mares ◽

S. M. Azimi ◽

W. Balachandran

Keyword(s):

Image Enhancement ◽

Fingerprint Identification

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Performance Analysis of Fingerprint Based Image Enhancement and Minutiae Extraction

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v8i5.663 ◽

2018 ◽

Vol 8 (5) ◽

pp. 43

Author(s):

Rajneesh Jain ◽

Sheelesh Kr. Sharma ◽

Pankaj Agrawal

Keyword(s):

Performance Analysis ◽

Image Enhancement ◽

Histogram Equalization ◽

Fingerprint Identification ◽

Fingerprint Image ◽

Minutiae Extraction ◽

Fingerprint Pattern ◽

Fingerprint Image Enhancement

Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification and classification. Minutiae are local discontinuities in the fingerprint pattern, mainly terminations and bifurcations. In this work we have propose a method for fingerprint image enhancement. Using histogram equalization over filtering and then minutia are calculated. The results achieved are compared with those obtained through some other methods. The Results show some improvement in the minutiae extraction in terms of quantity.

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A fingerprint identification algorithm: Combining image enhancement and chaos synchronisation classifier

2015 International Conference on Control Communication & Computing India (ICCC) ◽

10.1109/iccc.2015.7432951 ◽

2015 ◽

Author(s):

Shehnaz M. ◽

Naveen N.

Keyword(s):

Image Enhancement ◽

Fingerprint Identification ◽

Identification Algorithm ◽

Chaos Synchronisation

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A 500 dpi 224×256-pixel single-chip fingerprint identification LSI with pixel-parallel image enhancement and rotation schemes

2002 IEEE International Solid-State Circuits Conference. Digest of Technical Papers (Cat. No.02CH37315) ◽

10.1109/isscc.2002.993078 ◽

2003 ◽

Cited By ~ 1

Author(s):

S. Shigematsu ◽

K. Fujii ◽

H. Morimura ◽

T. Hatano ◽

M. Nakanishi ◽

...

Keyword(s):

Image Enhancement ◽

Fingerprint Identification ◽

Single Chip ◽

Parallel Image

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A 500dpi 224x256pixel single-chip fingerprint identification LSI with pixel-parallel image enhancement and rotation schemes and rotation schemes

2002 IEEE International Solid-State Circuits Conference. Digest of Technical Papers (Cat. No.02CH37315) ◽

10.1109/isscc.2002.992256 ◽

2005 ◽

Author(s):

S. Shigematsu ◽

K. Fujii ◽

H. Morimura ◽

T. Hatano ◽

M. Nakanishi ◽

...

Keyword(s):

Image Enhancement ◽

Fingerprint Identification ◽

Single Chip ◽

Parallel Image

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Exploring Coronal Structures with SOHO

International Astronomical Union Colloquium ◽

10.1017/s0252921100064915 ◽

2000 ◽

Vol 179 ◽

pp. 403-406

Author(s):

M. Karovska ◽

B. Wood ◽

J. Chen ◽

J. Cook ◽

R. Howard

Keyword(s):

Solar Corona ◽

Image Enhancement ◽

Coronal Mass Ejections ◽

Dynamical Evolution ◽

Small Scale ◽

Low Contrast ◽

Contrast Structures ◽

Scale Structures ◽

Small Scale Structures ◽

Coronal Structures

AbstractWe applied advanced image enhancement techniques to explore in detail the characteristics of the small-scale structures and/or the low contrast structures in several Coronal Mass Ejections (CMEs) observed by SOHO. We highlight here the results from our studies of the morphology and dynamical evolution of CME structures in the solar corona using two instruments on board SOHO: LASCO and EIT.

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