Filters








89 Hits in 3.5 sec

Extraction and selection of binarised statistical image features for fingerprint recognition

Ahlem Adjimi, Abdenour Hacine Gharbi, Philippe Ravier, Messaoud Mostefai
2017 International Journal of Biometrics (IJBM)  
We have extracted the BSIF histograms from sub-images around the core point of the fingerprint image and concatenated them to construct the final features vector.  ...  Due to their simplicity and efficiency, histogram-based descriptors are very used in the task of fingerprint recognition.  ...  Image-based fingerprint recognition systems use features different from the minutiae characteristics, and these features are extracted directly from the grey-level image of the fingerprint image, such  ... 
doi:10.1504/ijbm.2017.084133 fatcat:tkdjliltzzh75ncqtvcmroanjy

A Conceptual Study on Image Enhancement Techniques for Fingerprint Images

Krishna Prasad K., P. S. Aithal
2017 International journal of applied engineering and management letters  
Fingerprint characteristic or features are unique for everyone and which cannot change throughout the lifetime.  ...  So there is high necessity and scope for image preprocessing and enhancement techniques in order to improve the quality of fingerprint image and to obtain high accuracy in the matching process.  ...  Jianwei Yang et al. (2002) [16] improved the existing algorithm for fingerprint feature extraction by extracting minutiae directly from an original gray level image without undergoing steps of binarisation  ... 
doi:10.47992/ijaeml.2581.7000.0006 fatcat:74hzm2e2z5cgrgbdavxz6dvsny

A Conceptual Study On Image Enhancement Techniques For Fingerprint Images

K. Krishna Prasad
2017 Zenodo  
Fingerprint characteristic or features are unique for everyone and which cannot change throughout the lifetime.  ...  So there is high necessity and scope for image preprocessing and enhancement techniques in order to improve the quality of fingerprint image and to obtain high accuracy in the matching process.  ...  Jianwei Yang et al. (2002) [16] improved the existing algorithm for fingerprint feature extraction by extracting minutiae directly from an original gray level image without undergoing steps of binarisation  ... 
doi:10.5281/zenodo.831678 fatcat:c3mwlf2n2bgz5oty2qfd564aiy

Latent Fingerprint Recognition using Hybridization Approach of Partial Differential Equation and Exemplar Inpainting

, Himanshi, Anit Kaur, Amit Verma
2016 Indian Journal of Science and Technology  
Findings: Different filters show different performance of dataset images for latent fingerprint recognition.  ...  For the experimentation of proposed hybrid concept, IIIT Delhi latent and NIST SD-27 databases of fingerprint are used.  ...  This fingerprint recognition system consists of three modules (shown in Figure 2 ) i.e. pre-processing, feature extraction and postprocessing.  ... 
doi:10.17485/ijst/2016/v9i45/101871 fatcat:xomryhbnbzegvexlsa5kqa5fnq

Fingerprint image: pre- and post-processing

M. Usman Akram, Anam Tariq, Shoab A. Khan, Sarwat Nasir
2008 International Journal of Biometrics (IJBM)  
This post-processing is used to eliminate a large number of false extracted minutiae from skeletonised fingerprint images.  ...  Minutiaebased fingerprint matching techniques are normally used for fingerprint matching. Fingerprint matching results and their accuracy depends on presence of valid minutiae.  ...  Feature extraction A critical step in studying the statistics of fingerprint minutiae is to reliably extract minutiae from the fingerprint images.  ... 
doi:10.1504/ijbm.2008.018664 fatcat:7qiveio64ndr3bup2pl3k3ca3q

A new efficient method of fingerprint image enhancement

Piotr Porwik, Lukasz Wieclaw
2008 International Journal of Biometrics (IJBM)  
In the proposed approach, quality of image is enhanced by means of convolution of a given image and Gaussian kernel. Finally, the local binarisation is applied.  ...  For this reason, a lot of fingerprints have to be rejected -they are useless in identification processes.  ...  Fast, high-tech devices and police techniques are commonly used. In fingerprint recognition, minutiae analysis, its correlation, and ridge features are examined.  ... 
doi:10.1504/ijbm.2008.018662 fatcat:p2jqk7hm3jeydiwg3y5vt5ofs4

Fingerprint Image Segmentation: A Review of State of the Art Techniques

Krishna Prasad K., P. S. Aithal
2017 International journal of management, technology, and social science  
of false feature extraction.  ...  Segmentation is the separation of the fingerprint region or extraction of the presence of ridges from the background of the initial image.  ...  Moayer and Fu (1975) [24] used sampling squares, which are obtained from the subdivision of fingerprint images for the ultimate goal of feature extraction.  ... 
doi:10.47992/ijmts.2581.6012.0022 fatcat:7ecgpy2fxzct3bbpzgvpmbwtc4

Fingerprint Image Segmentation: A Review Of State Of The Art Techniques

P. S. Aithal, K. Krishna Prasad
2017 Zenodo  
of false feature extraction.  ...  Segmentation is the separation of the fingerprint region or extraction of the presence of ridges from the background of the initial image.  ...  Moayer and Fu (1975) [24] used sampling squares, which are obtained from the subdivision of fingerprint images for the ultimate goal of feature extraction.  ... 
doi:10.5281/zenodo.848190 fatcat:z65ss2ap2bh5lpqobzw6scsite

Research on fingerprint feature recognition of access control based on deep learning

Xiaochang Lv, Li Ding, Guohua Zhang
2021 International Journal of Biometrics (IJBM)  
The feature points in the fingerprint image of access control are extracted, and the similarity between the image and the information base is calculated.  ...  In order to overcome the problems of large error and long timeconsuming in traditional feature recognition methods, this paper proposes a new fingerprint feature recognition method based on deep learning  ...  Acknowledgements This work was supported by Heilongjiang Provincial University Foundation under grant no. 2018QNQ-09 and no.2018YDQ-15.  ... 
doi:10.1504/ijbm.2021.112214 fatcat:kfjromoaovgmznr54ekv7uhxfu

Fast Robust Fingerprint Feature Extraction and Classification

H. O. Nyongesa, S. Al-Khayatt, S. M. Mohamed, M. Mahmoud
2004 Journal of Intelligent and Robotic Systems  
The basic idea of fingerprint feature extraction algorithms proposed is to locate the coarse features of fingerprints called singularpoints using directional fields of the fingerprint image.  ...  Identification by fingerprint involves two processes: fingerprint feature extraction and feature classification.  ...  For effective recognition the extracted features should be invariant to the translation and rotation of the input fingerprint images.  ... 
doi:10.1023/b:jint.0000034344.58449.fd fatcat:ihc7kbxbmfesvc5cd3x76xmlny

A cost-effective fingerprint recognition system for use with low-quality prints and damaged fingertips

A.J. Willis, L. Myers
2001 Pattern Recognition  
Finally, a number of neural net and statistically based classi"ers are evaluated for the recognition task.  ...  Features are extracted from the enhanced images using a number of approaches including a novel wedge ring overlay minutia detector that is particularly robust to imperfections.  ...  Binarisation and thinning Many feature extractors operate best from a binary or thinned binary image.  ... 
doi:10.1016/s0031-3203(00)00003-0 fatcat:mflatn7lznf2jfiynp3trdqpgy

Dual Fingerprints Fusion for Cryptographic Key Generation

M. Marimuthu, A.Kannammal A.Kannammal
2015 International Journal of Computer Applications  
Fingerprints are permanent throughout person's lifespan. Keys are generated from the fingerprint template for encrypting and decrypting the content of the user.  ...  This paper presents a new cryptographic key generation algorithm from dual fingerprint biometric template; the suggested approach has simplified the generation of cryptographic keys and reduces the complexity  ...  Figure 3 . 3 1 depicts the overview of the Fingerprint Feature Extraction Process. Image Binarisation is the process of converting 8-bit gray image with 0-value for ridges and 1value for furrows.  ... 
doi:10.5120/21865-5194 fatcat:o7hywwz7l5gwbaupkolxdwxpxe

Two Dimensional Clipping Based Segmentation Algorithm for Grayscale Fingerprint Images

Krishna Prasad K., P. S. Aithal
2017 International journal of applied engineering and management letters  
Fingerprint segmentation is the one of the predominant process involved in fingerprint pre-processing and it refers to the method of dividing or separating the image into disjoint areas as the foreground  ...  The algorithm is able to find affectively ROI of the fingerprint image or separates the foreground region from the background area of the fingerprint image very effectively.  ...  Moayer and Fu (1975) [17] used sampling squares, which are obtained from the subdivision of fingerprint images for the ultimate goal of feature extraction.  ... 
doi:10.47992/ijaeml.2581.7000.0012 fatcat:fl4ql7ly3veafokn7zuj2daviu

Investigation of Efficiency of using Minutiae Detection Method for Finger Vein Recognition and Matching

W. F.Aswad, Sh. K. Guirguis, M. Z. Rashad
2015 International Journal of Computer Applications  
Finger vein recognition is a method of biometric authentication which is a promising biometric recognition technology used to recognize the individuals, to verify their identity and is one of many famous  ...  General Terms Finger vein detection and fingerprint minutiae detection.  ...  Image is the data to be analyzed in finger vein systems, also the idea of using face recognition methods is to extract the features and classify the data has been found.  ... 
doi:10.5120/20014-1985 fatcat:6cy4haiejbcj5bfscqhw6ftode

A Text Book Of Research Papers On Fingerprint Recognition & Hash Code Techniques

K. Dr. Krishna Prasad
2018 Zenodo  
This book contains research articles related to Fingerprint image enhancement, recognition and Hash code generation methods.  ...  This book also contains applications of Multifactor authentication model using Fingerprint Hash code, OTP and Password and compares this new model with existing similar systems.  ...  Requires navigational and explorative user interface, and Input should be selective rather than entry type. 5 While selecting fingerprint features for Hash code, unique features should be selected for  ... 
doi:10.5281/zenodo.1409464 fatcat:243353fegrfxji7jvxzmqg5sge
« Previous Showing results 1 — 15 out of 89 results