• Journal of the Korea Society of Computer and Information
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• v.8 no.4
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• pp.63-68
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• 2003

Almost the system are usually taken by means of shapes and positions of ridge's end-points and bifurcation in the fingerprint recognition. but we studied about recognition of polluted fingerprint by chain code ridges. the results and sequence of processing are summarized as follows. (1)Capture several kinds of polluted fingerprint image. (2)Preprocessing(median filtering for removing noises, local and global histogram equalization, dilation and erosion, thinning and remove pseudo image), (3)Rebuild ridge line after Least Square Processing, (4)Compute distribution of chain code vector, (5)The results are almost same values of each vector of preprocessed fingerprint images. From the results, we can surmised more successful fingerprints recognition system in combination with other system by singular points

• Journal of KIISE:Software and Applications
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• v.28 no.10
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• pp.764-772
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• 2001

This paper describes fingerprint matching algorithm using connected information between minutiae. We regard minutiae as ridge bifurcation and ridge ending. Features are composed of minutia's position, type(ridge bifurcation or ridge ending) ridge direction and connected ridge information. While the minutiae are extracted, we store connected in information between minutiae on the same ridge. They are used to find corresponding point pairs. Minutiae are aligned completely by two corresponding point pairs and point pattern matching is achieved by counting the number of overlapping pairs. It is invariable t translation and rotation. We have tested proposed method on the 445 fingerprints from 89 persons. These experimental results show that proposed algorithm improve 33% in speed.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.6
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• pp.89-98
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• 2005

Fingerprint segmentation and ridge orientation estimation algorithms with images from a mobile camera are proposed. The fingerprint images from a mobile camera are quite different from those from conventional sensor, called touch based sensor such as optical, capacitive, and thermal. For example, the images from a mobile camera are colored and the backgrounds or non-finger regions are very erratic depending on how the image capture time and place. Also the contrast between ridge and valley of a mobile camera image are lower than that of touch based sensor image. To segment fingerprint region, we first detect the initial region using color information and texture information. The LUT (Look Up Table) is used to model the color distribution of fingerprint images using manually segmented images and frequency information is extracted to discriminate between in focused fingerprint regions and out of focused background regions. With the detected initial region, the region growing algerian is executed to segment final fingerprint region. In fingerprint orientation estimation, the problem of gradient based method is very sensitive to outlier that occurred by scar and camera noise. To solve this problem, we propose a robust regression method that removes the outlier iteratively and effectively. In the experiments, we evaluated the result of the proposed fingerprint segmentation algerian using 600 manually segmented images and compared the orientation algorithms in terms of recognition accuracy.

• 대한치주과학회:학술대회논문집
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• 2002.11a
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• pp.128-128
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• 2002

• The Journal of the Korean dental association
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• v.35 no.7 s.338
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• pp.468-472
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• 1997

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2002.11a
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• pp.434-439
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• 2002

지문 인식 시스템의 정확도를 향상시키기 위해서는 지문 영상 처리의 각 단계들이 다양한 환경에 있어서도 만족할 만한 성능을 유지해야 한다. 본 논문은 다양한 환경에도 강인하고 보다 향상된 지문 융선 방향 계산 방법을 제안한다. 이는 지문 영상의 정확한 표현을 위한 융선 흐름의 불연속성을 표현할 때 보다 안정한 계산 방법을 제공함으로써, 이 정보를 이용하여 지문 인식을 수행하는 데 보다 안정된 처리 방법을 제공할 것이다. 이를 위해 방향 계산 결과로부터 얻어진 사전 정보(복잡도)를 추출하고 이 정보에 기반 하여 적응적 필터를 설계함으로써 보다 향상된 지문 인식 결과를 얻을 수 있음을 보인다. 이러한 방법은 모든 생체 정보의 인식을 위한 범용 계산 방법으로 활용 가능하다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.5
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• pp.1-8
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• 2000

Point pattern matching schemes for finger print recognition do not guarantee robust matching performance for fingerprint Images of poor quality We present a finger print recognition scheme, where transformation parameters of matched ridge pairs are estimated by Hough transform and the matching hypothesis is verified by a new measure of the matching degree using selective directional information Proposed method may exhibit extremely low FAR(False accept rate) while maintaining low reject rate even for the Images of poor quality because of the robustness to the variation of minutia points.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.757-759
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• 2005

Henry의 지문분류법이 창안된 후, 지문분류에 대한 여러 가지 접근 방법이 연구되고 있다. 특이점에 의한 분류는 가장 많이 연구되고 있는 방법이지만, 지문영상의 품질에 민감하기 때문에 정확한 분류가 쉽지 않다. 의사 융선은 특이점과 더불어 지문을 분류하기 위한 특징으로, 특이점의 불완전함을 보완하는데 이용한다. 본 논문에서는 나이브 베이즈 분류기를 이용하여 특이점과 의사 융선 정보의 확률적인 분류 방법을 제안한다. NIST DB 4에 대해 제안하는 방법을 실험한 결과 5클래스 분류에 대해 $85.4\%$의 분류율을 획득하였으며, 제안하는 방법이 신경망, 최근접 이웃에 의한 분류에 비해 더 빠르다는 것을 확인하였다.

• 한국전자현미경학회:학술대회논문집
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• 1993.06a
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• pp.14-15
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• 1993

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.287-295
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• 2017

This study is aimed at observing effects of fingerprint image quality on various photographing conditions in the aspect of resolution. Discrimination between two friction ridges plays an important role in the value of fingerprint image, and it can be confirmed with quantification of pixels of boundary region which is existing between two friction ridges. In this study, several factors were estimated with same fingerprint image using Adobe photoshop CS 6 for analysis: changes of image quality by ISO, movement when photographing, and photographers' experience and skill. Consequently, there was no significant change of image quality by ISO. Furthermore, there was no significant difference in the hand-held images between crime scene investigators and laymen, yet there was significant difference between hand-held images and images using tripod in the aspect of resolution. This study shows that using tripod is very important in forensic fingerprint photography through empirical methods.