• Adaptive document image skew estimation 

      Rezaei, S.B.; Shanbehzadeh, J.; Sarrafzadeh, Hossein (International Association of Engineers (IAENG), 2017-03)
      The skew of the scanned document image is inevitable, and its correction improves the performance of document recognition systems. Skew specifies the text lines deviation from the horizontal or vertical axes. To date, skew ...
    • An artifact-centric business process execution platform 

      Ngamakeur, Kan; Yongchareon, Dr. Sira; Liesaputra, Veronica; Liu, Chengfei; Yu, Jian (Institute of Electrical and Electronics Engineers (IEEE), 2016-09)
      Artifact-centric modeling has become an alternative, yet promising approach of business process (BP) modeling and management as it provides higher flexibility than that of traditional activity-centric approaches. However, ...
    • Brightness preserving fuzzy dynamic histogram equalization 

      Sarrafzadeh, Hossein; Rezazadeh, Fatemeh; Shanbehzadeh, Jamshid (Newswood Ltd., 2013)
      Abstract—Image enhancement is a fundamental step of image processing and machine vision to improve the quality of an image for a specific application. Histogram equalization is an attractive and commonly-employed image ...
    • Eve : an affect-sensitive pedagogical agent 

      Fourie, Leon; Overmyer, Scott; Shanbehzadeh, Jamshid; Sarrafzadeh, Hossein; Alexander, Samuel T.V. (Global Business and Technology Association, 2014-07)
      Easy with Eve is an affect-sensitive tutoring system that features Eve, an animated pedagogical agent that adapts to student emotion based on the results of an observational study of human tutors. This paper presents the ...
    • Human action recognition by conceptual features 

      Shamsipour, G.; Shanbehzadeh, J.; Sarrafzadeh, Hossein (Newswood and International Association of Engineers, 2017-03)
      Human action recognition is the process of labeling a video according to human behavior. This process requires a large set of labeled video and analyzing all the frames of a video. The consequence is high computation and ...
    • Large-scale image retrieval using local binary patterns and iterative quantization 

      Shakerdonyavi, M.; Shanbehzadeh, J.; Sarrafzadeh, Hossein (2015-11)
      Hashing algorithm is an efficient approximate searching algorithm for large-scale image retrieval. Learning binary code is a key step to improve its performance and it is still an ongoing challenge. The inputs of Hashing ...
    • Noise removal and binarization of scanned document images using clustering of features 

      Farahmand, Atena; Sarrafzadeh, Hossein; Shanbehzadeh, J. (Newswood and International Association of Engineers, 2017-03)
      Old documents are in printed form. Their archiving and retrieval is expensive according in terms of space requirement and physical search. One solution is to convert these documents into electronic form using scanners. The ...
    • Skew detection of scanned document images 

      Rezaei, , Sepideh Barekat; Sarrafzadeh, Hossein; Shanbehzadeh, Jamshid (Newswood Ltd., 2013)
      Skewing of the scanned image is an inevitable process and its detection is an important issue for document recognition systems. The skew of the scanned document image specifies the deviation of the text lines from the ...

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