Handwritten Word Recognition Using MLP based Classifier: A Holistic Approach
Holistic Word Recognition is one of the new modalities for handwritten word identification. The holistic paradigm in handwritten word recognition treats the word as a single, indivisible entity and attempts to recognize words from their overall shape, as opposed to recognize the individual characters comprising the word. In the present work reports a longest-run based holistic feature, that has been used classify word images belonging to different classes, using a neural network based classifier. To evaluate the technique, few words from the handwritten documents of the CMATERdb1.2.1 dataset have been used. Frequently occurring English words are manually extracted from the handwritten pages and the accuracy of the technique is evaluated using a three-fold cross-validation method. The best-case and average-case performances of the technique on the said dataset are 89.9% and 83.24% respectively.
Keywords: Holistic word recognition, Longest-run features, MLP classifier, Handwritten Document
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ABOUT THE AUTHORS
Ankush Acharyya
Ankush Acharyya is a M.Tech in student of Jadavpur University
Sandip Rakshit
Mr. Sandip Rakshit has been an Assistant professor and computer coordinator at the ARMY Institute of Management (Ranked A++ Category B-School in the country ) , Kolkata, India Mr. Rakshit is Pursuing Ph.D. in Computer Science Engineering from Jadavpur University He is also a member of IEEE (USA) and ACM (USA) for last five years.
Ram Sarkar
Ram Sarkar received his B.Tech degree in Computer Science and Engineering from University of Calcutta, in 2003. He received his M.C.S.E degree from Jadavpur University, in2005. He joined J.U. as a lecturer in 2008. His areas of current research interest are document image processing, line extraction and segmentation of handwritten text images
Subhadip Basu
Subhadip Basu received his B.E. degree in Computer Science and Engineering from Kuvempu University, Karnataka, India, in 1999. He received his Ph.D. (Engg.) degree thereafter from Jadavpur University (J.U.) in 2006. He joined J.U. as a senior lecturer in 2006. His areas of current research interest are OCR of handwritten text, gesture recognition, real-time image processing
Mita Nasipuri
Mita Nasipuri received her B.E.Tel.E., M.E.Tel.E., and Ph.D. (Engg.) degrees from Jadavpur University, in 1979, 1981 and 1990, respectively. Prof. Nasipuri has been a faculty member of J.U since 1987. Her current research interest includes image processing, pattern recognition, and multimedia systems. She is a senior member of the IEEE, USA, Fellow of I.E (India) and W.A.S.T., Kolkata, India.
Ankush Acharyya
Ankush Acharyya is a M.Tech in student of Jadavpur University
Sandip Rakshit
Mr. Sandip Rakshit has been an Assistant professor and computer coordinator at the ARMY Institute of Management (Ranked A++ Category B-School in the country ) , Kolkata, India Mr. Rakshit is Pursuing Ph.D. in Computer Science Engineering from Jadavpur University He is also a member of IEEE (USA) and ACM (USA) for last five years.
Ram Sarkar
Ram Sarkar received his B.Tech degree in Computer Science and Engineering from University of Calcutta, in 2003. He received his M.C.S.E degree from Jadavpur University, in2005. He joined J.U. as a lecturer in 2008. His areas of current research interest are document image processing, line extraction and segmentation of handwritten text images
Subhadip Basu
Subhadip Basu received his B.E. degree in Computer Science and Engineering from Kuvempu University, Karnataka, India, in 1999. He received his Ph.D. (Engg.) degree thereafter from Jadavpur University (J.U.) in 2006. He joined J.U. as a senior lecturer in 2006. His areas of current research interest are OCR of handwritten text, gesture recognition, real-time image processing
Mita Nasipuri
Mita Nasipuri received her B.E.Tel.E., M.E.Tel.E., and Ph.D. (Engg.) degrees from Jadavpur University, in 1979, 1981 and 1990, respectively. Prof. Nasipuri has been a faculty member of J.U since 1987. Her current research interest includes image processing, pattern recognition, and multimedia systems. She is a senior member of the IEEE, USA, Fellow of I.E (India) and W.A.S.T., Kolkata, India.
