Maitreyee Dutta

Work place: Computer Science Department, NITTTR, Chandigarh, India

E-mail: d_maitreyee@yahoo.co.in

Website:

Research Interests: Computer systems and computational processes, Image Processing, Data Structures and Algorithms, Mathematics of Computing

Biography

Dr. Maitreyee Dutta completed her Bachelor of Engineering in Electronics and Telecommunication in the year 1992 from Guwahati University, India, M.E in Electronics and Telecommunication and Ph.D. from Panjab University, Chandigarh, India in 1998 and 2007 respectively. She started her career as Lecturer in Electronics and Telecommunication Department from 1993–1994 at Assam Engineering College, Guwahati, India. She served as Project Associate in Computer Science Department at Technical Teachers Training Institute, Chandigarh, India from 1995-1996. After that, she was appointed as senior faculty at Aptech Computer Education, Panchkula, India from 1998-2001. She worked as Lecturer (Computer Science) from 2001 to May 2002, System Programmer from  Jun 2002 to Jan 2006, Assistant Professor and Head, Computer Science Department from Feb 2006 and worked as Associate Professor from 2009 to 2014 at National Institute of  Technical Teachers Training and Research, Chandigarh, India. She is presently working as Professor since 2014 at National Institute of Technical Teachers Training and Research, Chandigarh. During her service, she has guided nearly 60 thesis for M.E course and actively involved in research work. Her academic achievements include University Gold medal during graduation as well as received a national scholarship during B.E and secondary level. She is a reviewer of Journal of Multi Disciplinary Engineering Technologies. She has presented 26 papers in International Journal and presented 49 papers in national and international conferences. Her area of research includes Digital Signal Processing, Digital Image Processing and Cloud Computing.

Author Articles
Time and Accuracy Analysis of Skew Detection Methods for Document Images

By Sunita Mehta Ekta Walia Maitreyee Dutta

DOI: https://doi.org/10.5815/ijitcs.2015.11.06, Pub. Date: 8 Oct. 2015

Detecting skew angle in a document image has been an area of research interest for a long time. This paper presents an experimental analysis of various existing skew detection techniques involving methods such as Radon transform, Hough transform, Principal Component Analysis (PCA), PCA with Wavelet transform and Moments with Wavelet transform. Detailed analysis of existing skew detection method against the parameters time complexity, space complexity, robustness, accuracy, flexibility, etc. has been carried out for seven different categories of digital documents. The categories of these documents spans from those containing handwritten text in different languages, to the ones with both text and pictures. Radon transform is observed to be the fastest method when the image size is small and works with virtually all types of documents. It is an accurate method as well as works faster, even with the document containing pictures. PCA method is also faster than Hough transform for machine printed documents but used less for real time skew distortion due to its limitations. If the document image size is large, then Moments with Wavelet transform has better time complexity than other methods, but do not work well with documents containing images. Hough transform is the most accurate method, though it is computationally expensive.

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