Low-pass Filtering for Character Recognition
نویسندگان
چکیده
منابع مشابه
Efficient Method for Space-Variant Low-Pass Filtering
We propose a method for efficiently performing space-variant (SV) filtering, which we apply here to the low-pass case. It is based on using a small set of N a priori fixed reference kernels, which are obtained by applying different spatial scaling factors to a mother smoothing filter. The set of 2-D signals obtained by filtering the input image with these kernels is linearly combined to achieve...
متن کاملHorizontal low or high pass filtering Vertical low or high pass filtering X Input LLLL LLLH LLH LHLH LHLL
In this paper we show how the Orthogonal Memory Processor (OMP) is suited to the implementation of the two-dimensional wavelet transform (2DWT) due to its ability to transpose a data-set in negligible time. The OMP architecture is a shared memory machine in which the processing elements can alternately (together) access either rows or columns of the two-dimensional data-set. Since the 2DWT invo...
متن کاملFast two-dimensional simultaneous phase unwrapping and low-pass filtering.
Here, we present a fast algorithm for two-dimensional (2D) phase unwrapping which behaves as a recursive linear filter. This linear behavior allows us to easily find its frequency response and stability conditions. Previously, we published a robust to noise recursive 2D phase unwrapping system with smoothing capabilities. But our previous approach was rather heuristic in the sense that not gene...
متن کاملLow-Pass Filtering, Heat Flux, and Atlantic Multidecadal Variability
In this model study the authors explore the possibility that the internal component of the Atlantic multidecadal oscillation (AMO) sea surface temperature (SST) signal is indistinguishable from the response to white noise forcing from the atmosphere and ocean. Here, complex models are compared without externally varying forcing with a one-dimensional noise-drivenmodel for SST. General analytic ...
متن کاملRecognition of Character Strings in Low-quality Images Using Character and Inter-character Space Patterns
A method for character-string recognition is presented. The proposed method jointly evaluates features obtained from individual characters and inter-character spaces. Combining these features resolves ambiguity in segmentation and classification of low-quality character-string images. To evaluate the inter-character features, an intercharacter orthogonal subspace is constructed for each permuta...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of the Institute of Television Engineers of Japan
سال: 1973
ISSN: 1884-9644
DOI: 10.3169/itej1954.27.222