Visual Aesthetic Analysis for Handwritten Document Images
We present an approach for analyzing the visual aesthetic property of a handwritten document page which matches with human perception. We formulate the problem at two independent levels: (i) coarse level which deals with the overall layout, space usages between lines, words and margins, and (ii) fine level, which analyses the construction of each word and deals with the aesthetic properties of writing styles. We present our observations on multiple local and global features which can extract the aesthetic cues present in the handwritten documents.
- A novel approach for determining the aesthetic value of Handwritten Document Images.
- Identified relevant features helpful in quantifying the human notion for aesthetics of handwriting.
- Dataset of 275 pages of handwritten document images along with their neatness annotations.
Qualitative analysis of the proposed method in predicting the aesthetic measure of the document. (a) The top scoring document images, having properly aligned and beautiful handwritten text. (b) The lowest scoring document images where one can observe inconsistent word spacing, skew and highly irregular word formation. (c) Sample pairs of word images from the human verification experiment where the words in the first column are predicted better than the words in the second column whereas the third column denotes whether the prediction agrees with human judgment.
Anshuman Majumdar, Praveen Krishnan and C.V. Jawahar - Visual Aesthetic Analysis for Handwritten Document Images,15th International Conference on Frontiers in Handwriting Recognition, Shenzhen, China (ICFHR), 2016. [PDF]
- Anshuman Majumdar
- Praveen Krishnan
- C.V. Jawahar