Writer identification using an alphabet of contour gradient descriptors

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 2013, Pages 550-554

  Jain, Rajiv ^a   Doermann, David ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

Handwriting; Segmentation; Writer Identification

Indexed keywords

CHARACTER SEGMENTATION; DESCRIPTORS; DISTANCE METRICS; ERROR RATE; HANDWRITING; IDENTIFICATION RATES; LOCAL SHAPE; WRITER IDENTIFICATION;

IMAGE SEGMENTATION;

EID: 84889579351     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2013.115     Document Type: Conference Paper

References (21)

1. S. Srihari, S. Cha, H. Arora, and S. Lee. Individuality of Handwriting, J. Forensic Sciences, 47( 4): 1-17, 2002.
2. D. Harrison, T. Burkes, and D. Segier. Handwriting Examination: Meeting the Challenges of Science and the Law. Forensic Science Communications. FBI. gov website, 11(4). 2009.
3. A. Schlapbach and H. Bunke. A writer identi-cation and veri-cation system using HMM based recognizers, Pattern analysis and applications. pp. 33-43. 2007.
4. L. Schomaker and M. Bulacu. Automatic writer identification using connected-component contours and edge-based features of upper-case western script. PAMI, 26(6):787-798, 2004.
5. M. Bulacu and L. Schomaker. Text-independent writer identification and verification using textural and allographic features. PAMI, 29(4):701-717, April 2007.
6. Z. He et. al. Writer identification of chinese handwriting documents using hidden markov tree model, Pattern Recognition, 41(4): 1295-1307, April 2008.
7. M. N. Abdi et. al. A novel approach for off-line arabic writer identification based on stroke feature combination, ISCIS, pp. 597-600. 2009.
8. M. Bulacu et. al. Text-Independent Writer Identification and Verification on Offline Arabic Handwriting, ICDAR, pp. 769-773. 2007.
9. G. Louloudis et. al. ICFHR2012 Competition on Writer Identification Challenge 1: Latin/Greek Documents, ICFHR, pp 829-834., 2012.
10. U. Marti and H. Bunke. The IAM-Database: an English Sentence Database for Offline Handwriting Recognition. ICJAR. pp. 39-46. 2002.
11. C. Djeddi and L. Souici-Meslati, ''A texture based approach for Arabic Writer Identification and Verification'', ICMW, pp 115-120, 2010.
12. L. Xu, X. Ding, L. Peng and X. Li, "An Improved Method Based on Weighted Grid Micro-structure Feature for Text-Independent Writer Recognition", ICDAR, pp. 638-642, 2011.
13. R. Jain and D. Doermann, "Offline Writer Identification using KAdjacent Segments", ICDAR, pp. 769-773, 2011.
14. S. Fiel and R. Sablatnig, "Writer Retrieval and Writer Identification using Local Features", DAS, pp. 145-149, 2012.
15. C. Tomai and S. Srihari: Discriminatory power of handwritten words for writer recognition. ICPR, pp. 638-641, 2004.
16. S. Avidan and A. Shamir. Seam carving for content-aware image resizing. ACM Transactions on Graphics, 26(3), 2007.
17. D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, pages 91-110. 2004.
18. I. Siddiqi and N. Vincent. A Set of Chain Code Based Features for Writer Recognition. ICDAR,. pp. 981-985. 2009.
19. S. Awaida and S. Mahmoud. State of the art in off-line writer identification of handwritten text and survey of writer identification of Arabic text. Educational Research and Reviews, 7(20), pp. 445-463. 2012
20. R. Plamondon and S. Srihari. Online and Off-Line Handwriting Recognition: a Comprehensive Survey. PAMI. 22(1):63-84. 2000.
21. S. Strassel, "Linguistic resources for Arabic handwriting recognition". International Conference on Arabic Language Resources and Tools, Cairo, Egypt, April 2009.