• Title, Summary, Keyword: Minutiae extraction

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Fingerprint Image Enhancement Based on a Modified Gator Filter (변형된 게이버 필터를 사용한 지문영상의 향상)

  • 장원철;이동재;김재희
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.40 no.1
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    • pp.103-113
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    • 2003
  • We must enhance a fingerprint image to improve the performance of a fingerprint recognition. Because of this reason, many researches were achieved about the fingerprint image enhancement. Representative method is to use Gabor-Filter among them. However GF has the weakness which a processing hour takes long. In this paper, we proposed Half Gabor Filter (HGF) to enhance the fingerprint image fast in the on-line. The HGF, however, can make calculation much simpler, as well as both minutiae-extraction rate and recognition rate. On the other hand, the fingerprint image to enhance using HGF has almost same with the case effectiveness to apply GF. In this paper, we confirme it mathematically and experimentally.

A Study on Feature-Factors Extraction for Fingerprints Recognition (지문인식을 위한 특징요소 추출에 관한 연구)

  • Roh, Jeong-Seok;Jeong, Yong-Hoon;Choi, Young-Kyoo;Lee, June-Hwan;Rhee, Sang-Burm
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.687-690
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    • 2003
  • 지식 정보화 시대에 들어서면서부터 정보는 개인이나 일부 기관에 국한됨이 없이 중요시되고 있지만, 그 경계는 나날이 모호해지고 정보의 양은 급속하게 늘어가고 있는 것이 오늘날의 현실이다. 이러한 시대적 환경은 보안의 중요성이 크게 부각되어 생체인식 기술에 대한 관심을 높아지게 만들었다. 생체인식(Biometrics)분야 중에서도 지문 인식(Recognition)은 많은 연구가 이루어졌으나 개선할 점이 여전히 남아있다. 특히, 정확성 및 속도향상이라는 측면이 그렇다고 할 수 있겠다. 본 논문에서는 기존의 지문 인증(Authentication)시스템의 지문 영상(Image)의 식별 능력을 증가시키고 다수의 지문 영상에서도 좋은 결과를 가져올 수 있는 고유한 특징이 될 수 있는 요소들(Factor)을 추출하여 진보된 지문인식 시스템을 구현하는 것을 궁극적인 목표로 하고 있다. 따라서, 지금까지의 관련 연구를 바탕으로 지문 인식 시스템을 구현하는 것을 궁극적인 목표로 하고 있다. 따라서. 지금까지의 관련 연구를 바탕으로 지문 인식 시스템의 성능 향상을 위해서 핵심적인 minutiae reference point, 방향 정보의 추출 방법을 제안하고 인식의 종결부라고 할 수 있는 정합(matching)에 관에서 논한 다음, 마지막으로 결론 및 향후 과제로서 개선할 부분을 제시한다.

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Fingerprint Image Enhancement Based on a Directional Filter (방향성 필터 뱅크에 기반한 지문영상의 향상)

  • 오상근;박철현;윤옥경;이준재;박길흠
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.4A
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    • pp.345-355
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    • 2002
  • This paper describes a new method of directional filter-based analysis for fingerprint enhancement. Fingerprint cages can be represented by direction field of regular structure of ridge patterns. The dominant directional component of ridge plays a very important role in pre-processing steps of fingerprint image analysis such as ridge's linking and noise removal for minutiae extraction. A directional filter bank analyzes input image into directional subband images and synthesizes them to the perfectly reconstructed image. In this paper, a new fingerprint enhancement algorithm based on a directional filter bank is proposed. The algorithm decomposes the fingerprint image into subband images in the analysis stage, accomplishes an enhance procedure by processing subband images in the enhance stage and synthesizes them to the enhanced image in the synthesis stage.

Fingerprint Verification System Using Improved Preprocessing (개선된 전처리 과정을 이용한 지문 인식 시스템)

  • Lee Dong-Wook;Ahn Do-Rang;Lee Jee-Won
    • Journal of the Institute of Convergence Signal Processing
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    • v.7 no.2
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    • pp.73-80
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    • 2006
  • Fingerprint-based verification system has been used for a very long time. Because of their well-known uniqueness and immutability, fingerprint is one of the most widely used biometric features. However, fingerprint identification system has such a critical weakness that the performance of verification is reduced drastically for a poor input fingerprint. In this paper, an image enhancement algorithm using enhanced direction and enhanced binary and aiming image is used to mitigate the problem in the preprocessing. The goal of image enhancement is to estimate the quality of input fingerprint image and to improve the clarity of ridge and valley structures of input fingerprint image. Also, a ridge orientation extraction method using index table is proposed to improve the speed of verification. It is shown by the experiments that proposed fingerprint verification system improves the minutiae extraction accuracy and performance of verification.

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Efficient Image Stitching Using Fast Feature Descriptor Extraction and Matching (빠른 특징점 기술자 추출 및 정합을 이용한 효율적인 이미지 스티칭 기법)

  • Rhee, Sang-Burm
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.1
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    • pp.65-70
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    • 2013
  • Recently, the field of computer vision has been actively researched through digital image which can be easily generated as the development and expansion of digital camera technology. Especially, research that extracts and utilizes the feature in image has been actively carried out. The image stitching is a method that creates the high resolution image using features extract and match. Image stitching can be widely used in military and medical purposes as well as in variety fields of real life. In this paper, we have proposed efficient image stitching method using fast feature descriptor extraction and matching based on SURF algorithm. It can be accurately, and quickly found matching point by reduction of dimension of feature descriptor. The feature descriptor is generated by classifying of unnecessary minutiae in extracted features. To reduce the computational time and efficient match feature, we have reduced dimension of the descriptor and expanded orientation window. In our results, the processing time of feature matching and image stitching are faster than previous algorithms, and also that method can make natural-looking stitched image.

Fingerprint Recognition Algorithm using Clique (클릭 구조를 이용한 지문 인식 알고리즘)

  • Ahn, Do-Sung;Kim, Hak-Il
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.2
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    • pp.69-80
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    • 1999
  • Recently, social requirements of personal identification techniques are rapidly expanding in a number of new application ares. Especially fingerprint recognition is the most important technology. Fingerprint recognition technologies are well established, proven, cost and legally accepted. Therefore, it has more spot lighted among the any other biometrics technologies. In this paper we propose a new on-line fingerprint recognition algorithm for non-inked type live scanner to fit their increasing of security level under the computing environment. Fingerprint recognition system consists of two distinct structural blocks: feature extraction and feature matching. The main topic in this paper focuses on the feature matching using the fingerprint minutiae (ridge ending and bifurcation). Minutiae matching is composed in the alignment stage and matching stage. Success of optimizing the alignment stage is the key of real-time (on-line) fingerprint recognition. Proposed alignment algorithm using clique shows the strength in the search space optimization and partially incomplete image. We make our own database to get the generality. Using the traditional statistical discriminant analysis, 0.05% false acceptance rate (FAR) at 8.83% false rejection rate (FRR) in 1.55 second average matching speed on a Pentium system have been achieved. This makes it possible to construct high performance fingerprint recognition system.

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Adaptive Hybrid Fingerprint Matching Method Based on Minutiae and Filterbank (특징점과 필터뱅크에 기반한 적응적 혼합형 지문정합 방법)

  • 정석재;박상현;문성림;김동윤
    • Journal of KIISE:Software and Applications
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    • v.31 no.7
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    • pp.959-967
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    • 2004
  • Jain et al. proposed the hybrid matching method which was combined the minutia-based matching method and the filter-bank based matching method. And, their experimental results proved the hybrid matching method was more effective than each of them. However, this hybrid method cannot utilize each peculiar advantage of two methods. The reason is that it gets the matching score by simply summing up each weighted matching score after executing two methods individually. In this paper, we propose new hybrid matching method. It mixes two matching methods during the feature extraction process. This new hybrid method has lower ERR than the filter-bank based method and higher ERR than the minutia-based method. So, we propose the adaptive hybrid scoring method, which selects the matching score in order to preserve the characteristics of two matching methods. Using this method, we can get lower ERR than the hybrid matcher by Jain et al. Experimental results indicate that the proposed methods can improve the matching performance up to about 1% in ERR.