Fingerprint classification: a review

@article{Yager2004FingerprintCA,
  title={Fingerprint classification: a review},
  author={Neil Yager and Adnan Amin},
  journal={Pattern Analysis and Applications},
  year={2004},
  volume={7},
  pages={77-93}
}
Biometrics is the automatic identification of an individual that is based on physiological or behavioural characteristics. Due to its security-related applications and the current world political climate, biometrics is currently the subject of intense research by both private and academic institutions. Fingerprints are emerging as the most common and trusted biometric for personal identification. The main objective of this paper is to review the extensive research that has been done on… Expand
Fingerprint classification techniques: a review
TLDR
The main objective of this paper is to review the extensive researches that has been done on fingerprint classification over the last four decades and discusses the fingerprint features that are useful for distinguishing fingerprint classes and reviews the methods of classification that have been applied to the problem. Expand
A Review on Fingerprint Classification Techniques
  • F. Ahmad, D. Mohamad
  • Computer Science
  • 2009 International Conference on Computer Technology and Development
  • 2009
TLDR
This paper reviews existing approaches that have been applied to the classification problems of fingerprint classification and will cover the issues, designs and performance of several techniques for fingerprint classification system. Expand
A Contemporary Implementation of Two-Class Fingerprint Indexing
TLDR
The method proposed and implemented in this paper is a new and concise way of indexing a fingerprint database based on the edges that come from the fingerprint. Expand
An automated system for fingerprint classification using singular points for biometric security
  • 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. Expand
Fingerprint-Based Recognition
TLDR
The purpose of this article is to give an overview of fingerprint-based recognition and discuss research opportunities for making these systems perform more effectively. Expand
Machine Learning Techniques for Fingerprint Identification: A Short Review
TLDR
A short survey that emphasizes the implementations of basic machine learning notions for compensating some fingerprint problems and contributes as a ground truth for developing machine learning based algorithms for fingerprint identification in the near future. Expand
Improved features for fingerprint identification
Fingerprint matching is currently the subject of intense research by both private and academic institutions. So fingerprints are emerging as the most common and trusted biometric for personalExpand
A Comparison of Classification and IndexingBased Approaches for Fingerprint Identification
TLDR
In this chapter, this chapter is dealing with the identification problem, and there are three kinds of approaches to solve the fingerprint identification problem. Expand
Toward An Efficient Fingerprint Classification
TLDR
The system response time is the key issue of any AFIS, and it is often improved by controlling the accuracy of the identification to satisfy the system requirement, and the trade-off between the response time and the accuracy in fingerprint identification systems should be made clear. Expand
2 Toward An Efficient Fingerprint Classification
Biometrics technology is keep growing substantially in the last decades with great advances in biometric applications. An accurate personal authentication or identification has become a critical stepExpand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 65 REFERENCES
Fingerprint verification based on minutiae features: a review
TLDR
The main objective of this paper is to review the extensive research that has been done on automated fingerprint matching over the last four decades, in particular, the focus is on minutiae-based algorithms. Expand
A Combination Fingerprint Classifier
  • A. Senior
  • Computer Science
  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 2001
TLDR
Novel methods of classification using hidden Markov models and decision trees to recognize the ridge structure of the print, without needing to detect singular points are described. Expand
Automatic fingerprint classification system using fuzzy neural techniques
  • S. M. Mohamed, H. Nyongesa
  • Computer Science
  • 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291)
  • 2002
TLDR
A fuzzy-neural network classifier is used to implement the classification of input feature codes according to the well known Henry system and, 98.5% classification accuracy was obtained for the five class-problem. Expand
Fingerprint Classification with Combinations of Support Vector Machines
TLDR
Preliminary findings clearly suggest that SVM are an effective and promising approach for fingerprint classification and do not outperform previously proposed classification methods. Expand
Fingerprint identification: classification vs. indexing
TLDR
A comparison of two key approaches for fingerprint identification shows that, although correct classification rate can be as high as 92.8% for 5-class problems, the indexing approach performs better, based on the size of the search space and identification results. Expand
Fingerprint classification
TLDR
The algorithm extracts singular points (cores and deltas) in a fingerprint image and performs classification based on the number and locations of the detected singular points, which is invariant to rotation, translation and small amounts of scale changes. Expand
Hierarchical kernel fitting for fingerprint classification and alignment
  • Anil K. Jain, Silviu Minut
  • Mathematics, Computer Science
  • Object recognition supported by user interaction for service robots
  • 2002
TLDR
A model based method for fingerprint classification which only uses the flow field, avoiding the non-trivial computation of the thinned ridges and minutia points is proposed. Expand
Classification of Fingerprint Images
TLDR
This work presents a fingerprint classification algorithm with an improved feature extraction algorithm and a novel classification scheme that has been tested on the NIST-4 fingerprint database. Expand
Fingerprint image classification by core analysis
TLDR
A fingerprint classification algorithm that uses only the information related to core points, which detects core point candidates roughly from a directional image and analyzes the near area of each core candidate. Expand
Fingerprint Classification by Directional Image Partitioning
In this work, we introduce a new approach to automatic fingerprint classification. The directional image is partitioned into "homogeneous" connected regions according to the fingerprint topology,Expand
...
1
2
3
4
5
...