A modified direction feature for cursive character recognition

Blumenstein, Michael; Liu, X.Y.; Verma, Brijesh

doi:10.1109/ijcnn.2004.1381140

Cited by 58 publications

(64 citation statements)

References 9 publications

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“…Structural features use modified direction and transition distance feature (MDF) which extracts the transition locations and are based on the relational organization of low-level features into higher-level structures. The Modified Direction Feature (MDF) [32] utilizes the location of transitions from background to foreground pixels in the vertical and horizontal directions of the boundary representation of an object.…”

Section: 5structural or Syntactic Approachmentioning

confidence: 99%

A Preliminary Study on Various Off-line Hand Written Signature Verification Approaches

Arya¹,

Inamdar²

2010

IJCA

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Biometrics can be classified into two broad categoriesbehavioral (signature verification, keystroke dynamics, etc.) and physiological (iris characteristics, fingerprint, etc.). Handwritten signature is amongst the first few biometrics to be used even before the advent of computers. Signature verification is widely studied and discussed using two approaches [5]. On-line approach uses an electronic tablet and a stylus connected to a computer to extract information about a signature and takes dynamic information like; pressure, velocity, etc whereas in offline approach stable dynamic variations are not used for verification purpose. Offline systems are more applicable and easy to use in comparison with on-line systems in many parts of the world however it is considered more difficult than on-line verification due to the lack of dynamic information. The paper presents a survey of off-line signature verification approaches being followed in different areas. This being a nascent area under research, the survey covers some of the examples of the ways

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Section: 5structural or Syntactic Approachmentioning

confidence: 99%

A Preliminary Study on Various Off-line Hand Written Signature Verification Approaches

Arya¹,

Inamdar²

2010

IJCA

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“…The Modified Direction Feature (MDF) feature extraction technique [4] employs the location of transitions from background to foreground pixels and the direction at transitions in the vertical and horizontal directions of the boundary representation of an object. At each transition, the Location of the Transition (LT) and the Direction Transition (DT) values are recorded.…”

Section: Modified Direction Featurementioning

confidence: 99%

“…The Ratio feature has been widely used by researchers in cursive handwritten character recognition and signature verification [4,8]. In our previous work with neural networks [9], the Ratio feature (R1) was calculated using the following formula in order to generate a feature value ranging from 0 to 1: …”

Section: Ratio Featurementioning

confidence: 99%

Global Features for the Off-Line Signature Verification Problem

Nguyen

Blumenstein

Leedham

2009

2009 10th International Conference on Document Analysis and Recognition

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Global features based on the boundary of a signature and its projections are described for enhancing the process of automated signature verification. The first global feature is derived from the total 'energy' a writer uses to create their signature. The second feature employs information from the vertical and horizontal projections of a signature, focusing on the proportion of the distance between key strokes in the image, and the height/width of the signature. The combination of these features with the Modified Direction Feature (MDF) and the ratio feature showed promising results for the off-line signature verification problem. When being trained using 12 genuine specimens and 400 random forgeries taken from a publicly available database, the Support Vector Machine (SVM) classifier obtained an average error rate (AER) of 17.25%. The false acceptance rate (FAR) for random forgeries was also kept as low as 0.08%.

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“…The Modified Direction Feature (MDF) [8] utilizes the location of transitions from background to foreground pixels in the vertical and horizontal directions of the boundary representation of an object. For each transition, the Location of the Transition (LT) and the Direction Transition (DT) values are stored (as illustrated in Figure 3).…”

Section: Modified Direction Featurementioning

confidence: 99%

“…Additional geometric features examined in this research are the Ratio [8], Length, Centroid, triSurface, Best-Fit, and the Sixfold-Surface feature [9].…”

Section: Extra Featuresmentioning

confidence: 99%