Papers by Bidyut Baran Chaudhuri
Indian Conference on Computer Vision, Graphics & Image Processing, 2004
In this paper, we present a system towards recognition of Bangla pincode numerals for Indian post... more In this paper, we present a system towards recognition of Bangla pincode numerals for Indian postal automation. In the proposed system, at first, using structural features the broken numerals are joined. Next combining Neural Network (NN) and tree classifier based approach the numerals are recognized. Considering similar shaped numerals at first, NN classifies the 10 numerals into six groups. Next tree classifier is used for final recognition. The features used for the NN based recognition are the number and position of end points, junction points, position of the centre of gravity, and distance between the centre of the bounding box and the centre of gravity etc of a numeral. Different features used for tree classifier are based on water reservoir concept, structural features, and topological features. Overall accuracy of the proposed system is at present 94.21%.
Proceedings of Sixth International Conference on Document Analysis and Recognition, 2001
In U ggnerul situation, U document page may contuin severul script forms. For Optical Churucter R... more In U ggnerul situation, U document page may contuin severul script forms. For Optical Churucter Recognition (OCR) of such U document page, it is necessuiy to sepurute the scripts before feeding them to their individuul OCR systems. In this puper, un uutomutic technique for the ...
Iet Software/iee Proceedings - Software, 1993
Abstract The problem of natural texture segmentation is considered. The technique is based on fou... more Abstract The problem of natural texture segmentation is considered. The technique is based on four texture features derived using the fractal geometry of images. These four features are fractal dimension (FD) of the original image, FD of above average (high) gray level image, ...
Lecture Notes in Computer Science, 1998
Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., 2003
... Also, because of the use of robust features the scheme can identify a script line if some of ... more ... Also, because of the use of robust features the scheme can identify a script line if some of characters are connected (touching) in the line because of ... Kelly, T Thomas and L. Kerns, Automatic script identification from document images using cluster-based templates, IEEE ...
Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
In handwritten character recognition problem, the input images are often affected by distortions ... more In handwritten character recognition problem, the input images are often affected by distortions and noise. Thus such images at different resolutions include different variations in the input data. In the present work, we considered wavelet transform to obtain multi-resolution representation of each input character image. At each resolution level, we considered three MLPs with different numbers of nodes in their
International Journal of Pattern Recognition and Artificial Intelligence, 1998
ABSTRACT
Computational Linguistics, 1997
International Journal of Pattern Recognition and Artificial Intelligence, 1995
ABSTRACT
Fractal dimension is a feature used to characterize roughness and self-similarity in a picture. T... more Fractal dimension is a feature used to characterize roughness and self-similarity in a picture. This feature is used in texture segmentation and classification, shape analysis and other problems. An efficient differential box-counting approach to fractal dimension estimation is proposed and compared with four other methods
ABSTRACT The problem of optimum circular fit to weighted data points in multi-dimensional space i... more ABSTRACT The problem of optimum circular fit to weighted data points in multi-dimensional space is addressed in this paper. It is shown that the modified weighted sum of square error function can be optimized to obtain expressions for the parameters of the circular fit so that expensive iterative numerical optimization algorithms are not needed. Also, it is shown that the derived parameters are independent of uniform scaling of the data weights. Experimental results indicate that reliable circular fit can be obtained even if the data comes from a small arc rather than the complete circle. Sensitivity to noise is also studied.
Ninth International Workshop on Frontiers in Handwriting Recognition, 2004
In this paper, we present a system towards Indian postal automation. In the proposed system, at f... more In this paper, we present a system towards Indian postal automation. In the proposed system, at first, using Run Length Smoothing Algorithm (RLSA), we decompose the image into blocks. Based on the black pixel density and number of components inside a block, non-text block (postal stamp, postal seal etc.) are detected. Using positional information, the destination address block (DAB) is identified from text block. Next, pin-code box from the DAB is detected and numerals from the pin-code box are extracted. Since India is a multi-lingual and multi-script country, the address part may be written by combination of two languages: Arabic and a local language. For the sorting of postal documents written in Arabic and a local language Bangla, a two-stage MLP based classifier is employed to recognise Bangla and Arabic numerals. At present, the accuracy of the handwritten numeral recognition module is 92.10%.
Pattern Recognition, 1994
... Topological properties and topology-preserving transformation of a three-dimensional binary p... more ... Topological properties and topology-preserving transformation of a three-dimensional binary picture, Proc. 6th Int. Conf. on Pattern Recognition (1982), pp. 414419. 7.YF Tsao and KS Fu, A parallel thinning algorithm for 3D pictures, Comput. Graphics Image Process 17 (1981 ...
Pattern Recognition, 1997
This paper is concerned with a new parallel thinning algorithm for three-dimensional digital imag... more This paper is concerned with a new parallel thinning algorithm for three-dimensional digital images that preserves the topology and maintains their shape. We introduce an approach of selecting shape points and outer-layer used for erosion during each iteration. The approach produces good skeleton for different types of corners. The concept of using two image versions in thinning is introduced and
Proceedings of the 4th International Workshop on Multilingual OCR - MOCR '13, 2013
ABSTRACT Extraction and recognition of Bangla text from video frame images is challenging due to ... more ABSTRACT Extraction and recognition of Bangla text from video frame images is challenging due to fonts type and style variation, complex color background, low-resolution, low contrast etc. In this paper, we propose an algorithm for extraction and recognition of Bangla and Devanagari text form video frames with complex background. Here, a two-step approach has been proposed. After text localization, the text line is segmented into words using information based on line contours. First order gradient values of the text blocks are used to find the word gap. Next, an Adaptive SIS binarization technique is applied on each word. Next this binarized text block is sent to a state of the art OCR for recognition.
2010 12th International Conference on Frontiers in Handwriting Recognition, 2010
International Conference on Pattern Recognition, 1996
Road networks are important features of satellite imagery. The main contribution of the present r... more Road networks are important features of satellite imagery. The main contribution of the present road detection method consists of an effective enhancement technique and an efficient segmentation technique that removes non-road pixels step by step from the image where parameters involved: in each step images are determined by the sensor characteristics (like spatial resolution and spectral range) of the satellite.
International Conference on Pattern Recognition, 2008
We describe here a novel scheme for recognition of online handwritten basic characters of Bangla,... more We describe here a novel scheme for recognition of online handwritten basic characters of Bangla, an Indian script used by more than 200 million people. There are 50 basic characters in Bangla and we have used a database of 24,500 online handwritten isolated character samples written by 70 persons. Samples in this database are composed of one or more strokes
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Papers by Bidyut Baran Chaudhuri