Optical fingerprint identification by binary joint transform correlation

Fielding, Kenneth H.

doi:10.1117/12.56030

Cited by 62 publications

(14 citation statements)

References 6 publications

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“…There are a number of possible routes to an optical correlator system with which to implement the transformations described above. These include conventional matched filter systems recorded in film or other holographic media [12], photorefractive holograms/interconnects [13], computer generated holograms on an optical disk [14], phase holograms on an SLM [15], and joint-transform correlators [16]. In this report we will examine the use of a conventional holographic filter.…”

Section: Optical System Designmentioning

confidence: 99%

<title>Optoelectronic image processing for cervical cancer screening</title>

1994

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Automation of the Pap-smear cervical screening method is highly desirable as it relieves tedium for the human operators, reduces cost and should increase accuracy and provide repeatability. We present here th design for a high-throughput optoelectronic system which forms the first stage of a two stage system to automate pap-smear screening. We use a mathematical morphological technique called the hit-or-miss (HOM) transform to identify the suspicious areas on a pap-smear slide. This algorithm is implemented using a VanderLugt architecture and a time-sequential ANDing smart pixel array.

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Section: Optical System Designmentioning

confidence: 99%

<title>Optoelectronic image processing for cervical cancer screening</title>

1994

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“…However, several previous works [17,18] 14. In previous optical fingerprint correlation studies [11,12,13,14,15,16], decreasing image size and sampling frequency has decreased sensitivity to rotational alignment and plastic distortion. of the fingerprint would be sampled with a resolution less than the expected Nyquist limit.…”

Section: Global Optical Correlationsmentioning

confidence: 99%

Effect of resolution and image quality on combined optical and neural network fingerprint matching

Wilson

Watson

Paek

1998

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“…Fig. 1 The principle of a new slicing method based on the principle of a prism According to our experience, the light source 1, which is called inclined illuminating [3], is adopted when the reflectivity of the object is lower than 30 %. When the light illuminates the cross-section of the object, which contacts the AB area of the collecting surface, the object with low reflectivity absorbs most of it.…”

Section: Introductionmentioning

confidence: 99%

A new slicing method of reverse engineering based on the principle of refraction and reflection

Zong

Liu

Tang

et al. 2006

Front. Mech. Eng. China

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The traditional slicing method of reverse engineering has been used in product measure from time immemorial. This method however has the disadvantage of low contrast of the cross-sectional pictures of an object. In order to overcome the said shortcoming, a new slicing method of reverse engineering, based on the principle of refraction and reflection of a prism, has been propounded. According to the reflectivity of the object, one of the illuminating methods -straight illuminating or inclined illuminating -is adopted. These methods can enable one to obtain the image of the cross-section of a bright object with a dark background or the opposite. Experiments have proved to show the advantages of this new slicing method for high contrast of the cross-sectional pictures. To eliminate geometrical distortions caused by the refraction and reflection of the prism, a mathematical transformation model can be set up to correct the image by using relevant software. Eventually, a RP model of a temporomandibular joint fabricated according to its slicing pictures is illustrated.

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Optical fingerprint identification by binary joint transform correlation

Cited by 62 publications

References 6 publications

<title>Optoelectronic image processing for cervical cancer screening</title>

<title>Optoelectronic image processing for cervical cancer screening</title>

Effect of resolution and image quality on combined optical and neural network fingerprint matching

A new slicing method of reverse engineering based on the principle of refraction and reflection

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