List of Articles Hardware Implementation

• Open Access Article
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  1 - Low Complexity Median Filter Hardware for Image Impulsive Noise Reduction
  Hossein Zamani HosseinAbadi samavi96 samavi96 Nader Karimi
  10.7508/jist.2014.02.003
  Median filters are commonly used for removal of the impulse noise from images. De-noising is a preliminary step in online processing of images, thus hardware implementation of median filters is of great interest. Hence, many methods, mostly based on sorting the pixels, More

  Median filters are commonly used for removal of the impulse noise from images. De-noising is a preliminary step in online processing of images, thus hardware implementation of median filters is of great interest. Hence, many methods, mostly based on sorting the pixels, have been developed to implement median filters. Utilizing vast amount of hardware resources and not being fast are the two main disadvantages of these methods. In this paper a method for filtering images is proposed to reduce the needed hardware elements. A modular pipelined median filter unit is first modeled and then the designed module is used in a parallel structure. Since the image is applied in rows and in a parallel manner, the amount of necessary hardware elements is reduced in comparison with other hardware implementation methods. Also, image filtering speed has increased. Implementation results show that the proposed method has advantageous speed and efficiency. Manuscript profile
• Open Access Article
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  2 - A New Hardware Method for Direction Estimation in Fingerprint Images
  E. Alibeigi S. Samavi Z. Rahmani
  One of the main identity authentication methods is the use of fingerprints. The most popular biometric method is fingerprint analysis. Most of the automatic fingerprint systems are based on minutiae matching. Therefore, extraction of minutiae is a critical stage in the More

  One of the main identity authentication methods is the use of fingerprints. The most popular biometric method is fingerprint analysis. Most of the automatic fingerprint systems are based on minutiae matching. Therefore, extraction of minutiae is a critical stage in the design of fingerprint authentication systems. Computation of direction of lines in fingerprints is a stage which affects the quality of the extracted minutiae. The existing algorithms require complex and time-consuming computations and are software-based. This paper presents a hardware implementation which has improved the current methods. The presented method is based on pipeline architecture and has proved to perform efficiently. Manuscript profile