School of Computer and Information Sciences

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Browsing School of Computer and Information Sciences by Author "Agarwal, A."
  • Item
    A correspondence based approach to segmentation of cursive words
    ( 1995-01-01) Negi, A. ; Swaroop, K. S. ; Agarwal, A.
    A novel contour-based approach to off-line segmentation of cursive words is proposed. The approach avoids expensive processing such as slant correction, thinning, filtering, and regional pixel labeling. Correspondences between the maximum and minimum excursions of the handwriting image are established and categorised. Valid established correspondences additionally provide three types of useful singular features about the segmented letter shapes. These singular features of the handwriting are first defined and isolated as: Loops, ascenders and descenders. A consistent analysis of established valid correspondences gives the segmentation. Correspondences also provide stroke width estimates, character width, and slant estimates that are useful to a recognition system. Results of the proposed approach on images, with variations in slant and types of ligatures are also presented.
  • Item
    A correspondence based approach to segmentation of cursive words
    ( 1995-01-01) Negi, A. ; Swaroop, K. S. ; Agarwal, A.
    A novel contour-based approach to off-line segmentation of cursive words is proposed. The approach avoids expensive processing such as slant correction, thinning, filtering, and regional pixel labeling. Correspondences between the maximum and minimum excursions of the handwriting image are established and categorised. Valid established correspondences additionally provide three types of useful singular features about the segmented letter shapes. These singular features of the handwriting are first defined and isolated as: Loops, ascenders and descenders. A consistent analysis of established valid correspondences gives the segmentation. Correspondences also provide stroke width estimates, character width, and slant estimates that are useful to a recognition system. Results of the proposed approach on images, with variations in slant and types of ligatures are also presented.
  • Item
    Detection of courtesy amount block on bank checks
    ( 1995-01-01) Agarwal, A. ; Granowetter, L. ; Hussein, K. ; Gupta, A. ; Wang, P. S.P.
    This paper discusses a technique for locating the courtesy amount block on bank checks. In the analysis and recognition process, connected components in the image are identified first. Then, strings are constructed on the basis of proximity and horizontal alignment of characters. Next, a set of rules and heuristics are applied to these strings to choose the correct one. The chosen string is only accepted if it passes a verification test, which includes an attempt to recognize the currency sign. A deterministic finite automaton system is then used for segmenting the handprinted courtesy amount. Finally, the separated components are passed on to a neural network based recognition system.
  • Item
    Identification of lanes and bands in DNA autoradiogram images
    ( 1995-12-01) Agarwal, A. ; Srinivas Manohar, C. ; Pujari, Arun K.
    The present work is concerned with the application of image processing to an off-line DNA autoradiogram images. The varying morphology of lanes, nonuniformity in band shapes, intensities and spacing, the spatially varying background of the image and gel-preparative and digitization variations in the autoradiogram images make conventional techniques of image processing unsuitable. The proposed technique is adaptive taking varying background and unpredictable nature of the bands into account. We have successfully accomplished lane detection, lane straightening, adaptive enhancement of lane images and band detection.