Browsing by Author "Kabir, Kazi Lutful"

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    A study on image enhancement methods for printed Bangla document images
    (© 2016 IEEE, 2016) Islam, Anika Binte; Chowdhury, Fahim Salam; Nusrat, Fariha; Kabir, Kazi Lutful; Sarwar, Hasan
    Image enhancement is the process of modification of digital images in order to make quality resultant images such that those can be subjected to further manipulation (like further image analysis). There are several ways to implement image enhancement techniques. In this paper, we have studied a number of image enhancement methods consisting of binarization techniques and hybridization of such techniques. After applying those methods on scanned Bangla document images, we have analyzed the reconstructed images. Then, we have gone for the quantitative analysis portion. To accomplish that, we have measured the recognition rate and then examined the improvement ratio of the unprocessed samples versus reconstructed images in terms of recognition rate. Our analysis critically emphasizes the requirement to apply image enhancement methods. This study will certainly help the researchers to select appropriate image enhancement method(s) for processing low quality Bangla printed document images.
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    A study on image enhancement methods for printed Bangla document images
    (© 2016 IEEE, 2016) Islam, Anika Binte; Chowdhury, Fahim Salam; Nusrat, Fariha; Kabir, Kazi Lutful; Sarwar, Hasan
    Image enhancement is the process of modification of digital images in order to make quality resultant images such that those can be subjected to further manipulation (like further image analysis). There are several ways to implement image enhancement techniques. In this paper, we have studied a number of image enhancement methods consisting of binarization techniques and hybridization of such techniques. After applying those methods on scanned Bangla document images, we have analyzed the reconstructed images. Then, we have gone for the quantitative analysis portion. To accomplish that, we have measured the recognition rate and then examined the improvement ratio of the unprocessed samples versus reconstructed images in terms of recognition rate. Our analysis critically emphasizes the requirement to apply image enhancement methods. This study will certainly help the researchers to select appropriate image enhancement method(s) for processing low quality Bangla printed document images.
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    An improved chromosome sorting algorithm by permutation group-based inverted block-interchanges
    (© 2016 IEEE, 2016-12) Tabassum, Afrida; Abdullah, Wali Mohammad; Manjur, Najia; Islam, Rehennuma; Ahmed, Ashfaque Uddin; Morshed, Shourav Imtiaz; Tinni, Rizia Iqbal; Kabir, Kazi Lutful; Islam, Muhammad Nazrul
    In comparative genomics, a common issue is to find the shortest course of operations for the transformation of one genome into another. During rejoining the blocks, inverted block interchange, a more distinct form of block interchange, gives the option to the blocks to reverse their orientation. In this particular paper, we have presented an improved algorithm to sort circular chromosomes by inverted block interchanges and also compared the performances with a previous algorithm. Our experimental findings justify the fact that accommodation of inverted block interchange ensures results with equal or less number of series of operations in terms of block interchanges.
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    An improved chromosome sorting algorithm by permutation group-based inverted block-interchanges
    (© 2016 IEEE, 2016-12) Tabassum, Afrida; Abdullah, Wali Mohammad; Manjur, Najia; Islam, Rehennuma; Ahmed, Ashfaque Uddin; Morshed, Shourav Imtiaz; Tinni, Rizia Iqbal; Kabir, Kazi Lutful; Islam, Muhammad Nazrul
    In comparative genomics, a common issue is to find the shortest course of operations for the transformation of one genome into another. During rejoining the blocks, inverted block interchange, a more distinct form of block interchange, gives the option to the blocks to reverse their orientation. In this particular paper, we have presented an improved algorithm to sort circular chromosomes by inverted block interchanges and also compared the performances with a previous algorithm. Our experimental findings justify the fact that accommodation of inverted block interchange ensures results with equal or less number of series of operations in terms of block interchanges.
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    Bangla Character Recognition using Artificial Neural Network Step:Classifier Design
    (Department of Computer Science and Engineering, Military Institute of Science and Technology, 2013-12) Kabir, Kazi Lutful; Kabir, Md. Rayhan; Islam, Md. Aminul
    Character recognition is a very popular research field since 1950’s. A great deal of research work has been done for various languages specifically in case of English. The recognition of optical characters is known to be one of the earliest applications of Artificial Neural Networks. The use of artificial neural network simplifies development of an optical character recognition application, while achieving highest quality of recognition and good performance. Although Bangla is one of the most widely spoken languages (over 200 million people use Bangla as their medium of Communication) of the world, research is acute in recognition of Bangla characters. Under this context, an effort has been taken globally to computerize the Bangla language. Compared to English and other language scripts, one of the major stumbling blocks in Optical Character Recognition (OCR) of Bangla script is the large number of complex shaped character classes of Bangla alphabet. In addition to 50 basic character classes, there are nearly 160 complex shaped compound character classes in Bangla alphabet. Dealing with such a large variety of characters with a suitably designed feature set is a challenging problem. Uncertainty and imprecision is inherent in handwritten script. Moreover, such a large variety of complex shaped characters, some of which have close resemblance, makes the problem of OCR of Bangla characters more difficult. Considering the complexity of the problem, this research makes an attempt to develop a method for the recognition of Bangla characters using the artificial neural network. Pre-processing steps involves segmentation and binarization. Features are taken using different feature extraction procedures. Multilayered neural network is used in the spirit of back-propagation algorithm for classification as well as recognition of characters. To deal with immense variation and magnificent diversity of Bangla characters, this effort have widened the area for many research works to come to light and to bid fair to be accomplished.