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Learning fingerprint minutiae location and type

Salil Prabhakar, Anil K. Jain, Sharath Pankanti
2003 Pattern Recognition  
We also show that a feature refinement (minutiae classification) stage that assigns one of two class labels to each detected minutia (ridge ending and ridge bifurcation) can improve the matching accuracy  ...  This minutiae verification stage is based on reexamining the grayscale profile in a detected minutia's spatial neighborhood in the sensed image.  ...  Thinning Minutiae extraction  ... 
doi:10.1016/s0031-3203(02)00322-9 fatcat:633mfxqkufh4flai4lr5ygtc2y

Segmentation of Parasites for High-Content Screening Using Phase Congruency and Grayscale Morphology [chapter]

Daniel Asarnow, Rahul Singh
2012 Lecture Notes in Computer Science  
Towards ameliorating this difficulty, we propose an edge detector utilizing phase congruency and grayscale thinning.  ...  We presented a region-based method with performance limited primarily by poor edge detection caused by body irregularities, groups of touching parasites and unpredictable effects of drug exposure.  ...  This work was funded in part by the NIH grant 1R01AI089896-01 and by NSF grant 0644418.  ... 
doi:10.1007/978-3-642-33179-4_6 fatcat:rc7wkobzibhx5kvlmhgm7aibgq

An FPGA based Minutiae Extraction System for Fingerprint Recognition

Yousra Wakil, Sehar Gul Tariq, Aniza Humayun, Naeem Abbas
2015 International Journal of Computer Applications  
Fingerprint holds a higher priority among other identification techniques such as passwords, keys and ID cards.  ...  FPGA based architecture for fingerprint recognition by using Xilinx System Generator that efficiently implements the highly demanding image processing techniques along with crossing number method of ridge  ...  The techniques used for image thinning are Perwitt edge detection and Sobel operator [6] but this paper contains Perwitt edge detection technique.  ... 
doi:10.5120/19592-1362 fatcat:g3podpmacbbo7ihxlrnlkyp7ne

Fingerprint Verification based on Gabor Filter Enhancement [article]

B N Lavanya, K B Raja, K R Venugopal
2009 arXiv   pre-print
A global feature extraction and fingerprints enhancement are based on Hong enhancement method which is simultaneously able to extract local ridge orientation and ridge frequency.  ...  Human fingerprints are reliable characteristics for personnel identification as it is unique and persistence. A fingerprint pattern consists of ridges, valleys and minutiae.  ...  Spurious minutiae results from spikes and glitches in the thinned ridge are removed by (i) the distance from the ridge ending to the ridge bifurcation is found.  ... 
arXiv:0912.0950v1 fatcat:v2sy3r7n3bdh5a7jltl3fypwpm

An Improved Scheme for Full Fingerprint Reconstruction

Sheng Li, Alex C. Kot
2012 IEEE Transactions on Information Forensics and Security  
Finally, the refined phase image is used to produce a thinned version of the fingerprint, from which a real-look alike grayscale fingerprint image is reconstructed.  ...  The scheme starts with generating a binary ridge pattern which has a similar ridge flow to that of the original fingerprint.  ...  An ideal grayscale Fig. 13 (a) and (b) shows the thinned version and the ideal grayscale fingerprint image for the refined phase image in Fig. 12(c ).  ... 
doi:10.1109/tifs.2012.2212012 fatcat:saacgicisvcd7mh2lsk7cotddi


Ganchimeg G, Senior Lecturer, Mongolian University of Science and Technology.
2019 International Journal of Advanced Research  
The first one is carried out using various filtering methods for direct grayscale enhancement. The second method use to edge detection techniques and morphological thinning methods.  ...  II) Edge Detection Combined Morphological Thinning Techniques Results In this section, we compare the various edge detection images combined Morphological thinning methods.  ... 
doi:10.21474/ijar01/9084 fatcat:bdsl7l6p65abnkx54vtqj7tjau

Using scale space filtering to make thinning algorithms robust against noise in sketch images

Houssem Chatbri, Keisuke Kameyama
2014 Pattern Recognition Letters  
The scale selection is done using a performance measure that detects extra artifacts (redundant branches and lines) caused by noise and shape distortions introduced by high amount of filtering.  ...  neat thinning result.  ...  Hoffman for his kind and prompt assistance with his paper, and anonymous reviewers for their constructive criticism and useful comments.  ... 
doi:10.1016/j.patrec.2014.01.011 fatcat:c56igbfkczcmbnka54y6xkqlfy

Detection of cracks in computer tomography images of logs

Suchendra M. Bhandarkar, Xingzhi Luo, Richard Daniels, E. William Tollner
2005 Pattern Recognition Letters  
A crack is hard to detect in a cross-sectional CT image of a log because it has geometric properties and grayscale values that are similar to those associated with the ring structure of the log.  ...  Sobel-like operators are used to extract both, the line defining the crack and the contours corresponding to the grayscale valleys between two neighboring rings.  ...  Bhandarkar, Daniels and Tollner (Award Number 2001-35103-10049).  ... 
doi:10.1016/j.patrec.2005.04.004 fatcat:bkrqgbo3jrdntklbjvzj7jqwyi

Q-Learning Approach for Minutiae Extraction from Fingerprint Image

Sandeep Tiwari, Neha Sharma
2012 Procedia Technology - Elsevier  
This has been improved by using agent based approach SARSA in which agent learns to follow the ridges and stop at the minutiae.  ...  Agent learns by calculating Q value on the basis of relation between neighbourhood gray scale values of ridges and find original minutiae by selecting maximum Q values.  ...  Such systems first detect the minutiae grayscale values along a direction normal to the local ridge direction.  ... 
doi:10.1016/j.protcy.2012.10.011 fatcat:5vphmoadfrg65cnagdann7raja

Fingerprint Recognition Using Minutia Score Matching [article]

Ravi. J, K. B. Raja, Venugopal. K. R
2010 arXiv   pre-print
A minutia matching is widely used for fingerprint recognition and can be classified as ridge ending and ridge bifurcation.  ...  For Fingerprint thinning, the Block Filter is used, which scans the image at the boundary to preserves the quality of the image and extract the minutiae from the thinned image.  ...  Dilation and erosion are used to thin the ridges. A binarized Fingerprint and the image after thinning are shown in Figure 3 .  ... 
arXiv:1001.4186v1 fatcat:cqpok4pjw5dnreyjqsrqxfxhwe

Scan-Conversion Algorithm for Ridge Point Detection on Tubular Objects [chapter]

Sukmoon Chang, Dimitris N. Metaxas, Leon Axel
2003 Lecture Notes in Computer Science  
In this paper, a gradient-based method for ridge point extraction on tubular objects is presented.  ...  We present various results of the method using CLSM (Confocal Laser Scanning Microscopy) images of blood fibrins and CT images of a skull and lungs.  ...  Combining together, L 0 and L 90 detect all the ridge points on the distance map. The discussion so far leads us to a simple scan-conversion algorithm for ridge point detection.  ... 
doi:10.1007/978-3-540-39903-2_20 fatcat:utkauavxvzgxfcmly4ptercvvu

Data hiding in Fingerprint Minutiae Template for Privacy Protection [article]

Sheng Li, Xin Chen, Zhigao Zheng, Zhenxin Qian, Guorui Feng, Xinpeng Zhang
2017 arXiv   pre-print
The third strategy is an order preserving mechanism which is proposed to reduce the detectability of data hiding.  ...  The thinned fingerprint maintains all the key features of a fingerprint and is much smaller in file size compared with its grayscale counterpart.  ...  In [20] and [10] , the authors develop two data hiding schemes for the thinned fingerprint template, which is a binary fingerprint image after thinning.  ... 
arXiv:1710.00516v1 fatcat:y3gbzu4ninesvikjlt4jebu3r4

A Digital Camera-Based Rotation-Invariant Fingerprint Verification Method

Sajid Khan, Dong-Ho Lee, Asif Khan, Ahmad Waqas, Abdul Rehman Gilal, Zahid Hussain Khand
2020 Scientific Programming  
This paper proposes a rotation and scale-invariant decision-making method for the intelligent registration and recognition of fingerprints.  ...  Matched inlier points are used to form a homography matrix, the difference in the rotation angles of the finger in both the input and reference images is calculated, and finally, derotation is performed  ...  To detect thin ridges, all ridges are first detected by applying Otsu thresholding [34] to the enhanced region of interest. is will result in a binary image with ridge pixels represented in white and  ... 
doi:10.1155/2020/9758049 fatcat:m7p6yrh4hnccribw623tgglmfy

Fast Fourier transform for fingerprint enhancement and features extraction with adaptive block size using orientation fields

Ait Aoudia Amina, Michelucci Dominique, Zafoune Youcef, S. Krit
2022 ITM Web of Conferences  
This work deals with poor-quality fingerprint images containing broken ridges. The enhancement stage connects broken ridges and is essential for extracting correct minutiae.  ...  The performance improvements of our algorithm are evaluated and compared with standard measures MSE, PSNR and GI, on databases DB1 to DB4 of FVC2004 and NIST special database SD302d.  ...  In an ideal acquisition of a fingerprint, it is easy to detect minutiae by following the detected ridge lines to their ending and bifurcation points.  ... 
doi:10.1051/itmconf/20224301014 fatcat:ur6snnbohndoznxno3jeh32xvy

Skin image segmentation based on energy transformation

Liangen Zhu, Shiyin Qin, Fugen Zhou
2004 Journal of Biomedical Optics  
Edge Detection After feature space transformation, the original image is transformed into an energy image f ͓Fig. 3͑a͔͒, and the grid in Fig. 1 The grayscale distribution curve (b) corresponding to the  ...  The ridge centerlines can be detected at the image locations where the principal direction is perpendicular to the normal vector.  ...  So we can detect the ridge centerline by finding k 1 and e 1 .  ... 
doi:10.1117/1.1646412 pmid:15065903 fatcat:m6phvkdgf5h5zn65kwm6kpfyq4
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