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An Investigation of the modified direction feature for cursive character recognition

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : An Investigation of the modified direction feature for cursive character recognition
นักวิจัย : Blumenstein, Michael. , Liu, Xin Yu. , Verma, Brijesh.
คำค้น : Pattern recognition systems. , Not a CQU Research Flagship , 700101 Application packages , 700102 Application tools and system utilities , 280207 Pattern Recognition , 280212 Neural Networks, Genetic Alogrithms and Fuzzy Logic , 280208 Computer Vision , Neural networks (Computer science) , Feature extraction -- Cursive handwriting recognition -- Neural networks -- Pattern recognition -- Computer vision
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2550
อ้างอิง : http://hdl.cqu.edu.au/10018/12483 , http://ezproxy.cqu.edu.au/login?url=http://dx.doi.org/10.1016/j.patcog.2006.05.017. , cqu:2707
ที่มา : M. Blumenstein, X. Liu, B. Verma, An investigation of the modified direction feature for cursive character recognition, Pattern Recognition, vol. 40, issue 2 (2007), pp. 376-388.
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Pattern recognition : the journal of the Pattern Recognition Society United Kingdom : Elsevier, 2007. Vol. 40, issue 2 (February 2007), p. 376-388 13 pages Refereed 0031-3203 , aCQUIRe [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

This paper describes and analyses the performance of a novel feature extraction technique for the recognition of segmented/cursive characters that may be used in the context of a segmentation-based handwritten word recognition system. The modified direction feature (MDF) extraction technique builds upon the direction feature (DF) technique proposed previously that extracts direction information from the structure of character contours. This principal was extended so that the direction information is integrated with a technique for detecting transitions between background and foreground pixels in the character image. In order to improve on the DF extraction technique, a number of modifications were undertaken. With a view to describe the character contour more effectively, a re-design of the direction number determination technique was performed. Also, an additional global feature was introduced to improve the recognition accuracy for those characters that were most frequently confused with patterns of similar appearance. MDF was tested using a neural network-based classifier and compared to the DF and transition feature (TF) extraction techniques. MDF outperformed both DF and TF techniques using a benchmark dataset and compared favourably with the top results in the literature. A recognition accuracy of above 89% is reported on characters from the CEDAR dataset.

บรรณานุกรม :
Blumenstein, Michael. , Liu, Xin Yu. , Verma, Brijesh. . (2550). An Investigation of the modified direction feature for cursive character recognition.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Blumenstein, Michael. , Liu, Xin Yu. , Verma, Brijesh. . 2550. "An Investigation of the modified direction feature for cursive character recognition".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Blumenstein, Michael. , Liu, Xin Yu. , Verma, Brijesh. . "An Investigation of the modified direction feature for cursive character recognition."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2550. Print.
Blumenstein, Michael. , Liu, Xin Yu. , Verma, Brijesh. . An Investigation of the modified direction feature for cursive character recognition. กรุงเทพมหานคร : Central Queensland University, Australia; 2550.