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Group No. 4

Group No. 4. Members- AKASH AGARWAL (Y08UC010) MAYANK INDORIA (Y08UC080). Zip Codes Recognition. AIM: To be able to recognise and postal code from the letters or postcard to ease the post office to sort the letters without remembering the postal codes .

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Group No. 4

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  1. Group No. 4 Members- AKASH AGARWAL (Y08UC010) MAYANK INDORIA (Y08UC080)

  2. Zip Codes Recognition • AIM: To be able to recognise and postal code from the letters or postcard to ease the post office to sort the letters without remembering the postal codes . • INPUT: An image of a letter or a postcard with a postal code .

  3. APPROACHES: • There are five primary algorithms that the software requires for identifying a postal code: • 1. Localization – responsible for finding and isolating the code on the picture. • 2. Sizing –adjusts the dimensions to the required size. • 3. Normalization – adjusts the brightness and contrast of the image. • 4. Character segmentation – finds the individual characters on the image. • 5. Optical character recognition.

  4. CHALLENGES ASSOCIATED : • There are a number of possible difficulties that the software must be able to cope with. These include: • Blurry images, particularly motion blur. • Poor lighting and low contrast due to overexposure, reflection or shadows. • Requirement of large dataset, covering various font styles, and symbols. • Since the numbers can be hand written we face a real challenge in extracting them. • Implementing OCR in the context to this project will be new to us.

  5. Time division for the project • Time division for the project • We thought of the following deadline: • Till 10 November: We will be finished with the extraction of the portion where postal code is written. • Till 20 November: We will be finished with the OCR part of the extraction. • Till 22 November: We will be ready for the presentation. • Till 25 November: We will be ready with the project report.

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