Hardware implementation of fingerprint image thinning algorithm in FPGA device

2010 ◽  
Author(s):  
Lingga Hermanto ◽  
Sunny Arief Sudiro ◽  
Eri Prasetyo Wibowo
Keyword(s):  
Hardware Implementation ◽  
Fingerprint Image ◽  
Thinning Algorithm ◽  
Image Thinning

Parallel Improvement for a Classical Template Serial Thinning Algorithm

2011 ◽  
Vol 271-273 ◽  
pp. 1509-1513 ◽  
Author(s):  
Mei Xiu Lu ◽  
Fu Rong Wang ◽  
Feng Li
Keyword(s):  
Mathematical Morphology ◽  
Fingerprint Recognition ◽  
Thinning Algorithm ◽  
Recognition Algorithms ◽  
Characteristic Points ◽  
Image Thinning ◽  
Ideal Algorithm ◽  
Improved Algorithm

Image thinning is one of important steps of fingerprint preprocessing. Most of fingerprint recognition algorithms checked the characteristic points on thinning image. In this paper, we discover some shortages in OPTA and mathematical morphology thinning algorithm and find out the reasons for some shortages such as many glitches and snags, defective thinning, and so on. A new improved algorithm is proposed in the paper, which is an ideal algorithm because it is faster, produces less glitch, and thins completely.

A WAVELET-BASED APPROACH TO RIDGE THINNING IN FINGERPRINT IMAGES

2005 ◽  
Vol 19 (05) ◽  
pp. 631-645 ◽  
Author(s):  
XINGE YOU ◽  
BIN FANG ◽  
YUAN YAN TANG ◽  
ZHENYU HE
Keyword(s):  
Poor Quality ◽  
Automatic Recognition ◽  
Wavelet Function ◽  
Fingerprint Recognition ◽  
Global Feature ◽  
Orientation Field ◽  
Fingerprint Image ◽  
Thinning Algorithm ◽  
Multi Scale ◽  
Effectiveness And Efficiency

As a global feature of fingerprints, the thinning of ridges, extraction of minutiae and computation of orientation field are very important for automatic fingerprint recognition. Many algorithms have been proposed for their computation and estimation, but their results are unsatisfactory, especially for poor quality fingerprint images. In this paper, a robust wavelet-based method to create thinned ridge map of fingerprint for automatic recognition is proposed. Properties of modulus minima based on the spline wavelet function are substantially investigated. Desirable characteristics show that this method is suitable to describe the skeleton of the ridge of the fingerprint image. A multi-scale thinning algorithm based on the modulus minima of wavelet transform is presented. The proposed algorithm is able to improve the skeleton representation of the ridge of the fingerprint without side-effects and limitations of the existing methods. The thinned ridge map can facilitate the extraction of the minutiae for matching in fingerprint recognition. Experiments have been conducted to validate the effectiveness and efficiency of the proposed method.

scholarly journals Hybrid Parallel Image Processing Algorithm for Binary Images with Image Thinning Technique

2021 ◽  
Vol 3 (3) ◽  
pp. 243-258
Author(s):  
A Sathesh ◽  
Edriss Eisa Babikir Adam
Keyword(s):  
Image Processing ◽  
Processing Technique ◽  
Binary Image ◽  
Topological Properties ◽  
Image Processing Algorithm ◽  
Thinning Algorithm ◽  
Binary Images ◽  
Parallel Image Processing ◽  
Parallel Image ◽  
Image Thinning

Image thinning is the most essential pre-processing technique that plays major role in image processing applications such as image analysis and pattern recognition. It is a process that reduces a thick binary image into thin skeleton. In the present paper we have used hybrid parallel thinning algorithm to obtain the skeleton of the binary image. The result skeleton contains one pixel width which preserves the topological properties and retains the connectivity.

Study of Fingerprint Image Preprocessing Technology

2014 ◽  
Vol 519-520 ◽  
pp. 581-584
Author(s):  
Shuai Yuan ◽  
Guo Yun Zhang ◽  
Jian Hui Wu ◽  
Long Yuan Guo
Keyword(s):  
Recognition System ◽  
Gabor Wavelet ◽  
Fingerprint Image ◽  
Image Preprocessing ◽  
Identity Recognition ◽  
Background Segmentation ◽  
Image Thinning ◽  
Segmentation Image ◽  
Test Result ◽  
Wavelet Algorithm

Fingerprint image preprocessing technology has been widely used with the development of intelligent identity recognition system, which studies fingerprint image restoration, enhancement and thinning based on digital image processing technology. This paper presents system design and realization of preprocessing technology for fingerprint image. Fingerprint image has restoration processing by adopting image filed calculation, image background segmentation, image equalization, image convergence and image smoothing algorithm in order at first. Then Gabor wavelet algorithm is used to enhance the contrast of fingerprint image. Image thinning algorithm is carried out to extract the skeleton of fingerprint image at last. Test result shows that the method presented has good accuracy, quick speed and strong robustness for realtime application.

scholarly journals ALGORITMA IMAGE THINNING

2009 ◽  
Vol 1 (1) ◽  
pp. 29-37
Author(s):  
Zurnawita Zurnawita ◽  
Zulharbi Suar
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Thinning Algorithm ◽  
Recognition Process ◽  
Image Thinning

Using image thinning algorithm, various example of application is processing image to become more and more variate and helpfully for recognition process an image such as were studied  by  example. First, this handout will be explained  some term which concerning image thinning in digital image processing, then definition from image thinning and algorithm to process image thinning at one particular digital image will be explained. In the  next will be given an image thinning application which used for Extraction of Filarial Worms.

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