Nokia Developer Champion

Nokia Developer recently announced this year’s Nokia Developer Champions and I am glad to say that I have been entitled as “Nokia Developer Champion“.

I would like to thank the Nokia Developer Community for rewarding me with such an important title and inviting me under their elite mobile developers group.

Check my Nokia Developer Wiki contibutions here.

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Progress with my Handwriting Recognition Project

I am back with more updates on my handwriting recognition project!

In my last post, I talked about developing Scribble-pad for accepting user input that we can process for handwriting recognition. Another way of capturing input can be by a phone camera, so the user can just click a picture of the text. I’ll post about the camera input in a separate post, but today I would like to show you how I did some image processing on the image we saved from the Scribble-pad.

Going for the complete handwritten word seemed too ambitious to me, so I’m going to start by recognizing a letter first!


First we allow the user to write a letter and save it to a file using our Scribble-pad.

A possible way to recognize the letter could be to compare the saved image with all the other english alphabets and numerals. If it matches to a threshold percentage, it’s more likely to actually be that character. There can be some errors because the style and size of the handwriting of every user would differ. We can do some amount of image processing to detect if the user’s handwriting is too small to compare and enlarge it to a working size, however nothing can be done if the user has bad handwriting. (So, my engine wouldn’t work if you have a really bad handwriting)


So following the logic I outlined above, we would need source images of all the characters of english letters and numerals. Where do I get these from? The answer is to generate these images from Qt.

Here’s how I generated the images for upper case characters A-Z. These images were generated as follows,

ascii_counter = 65;
QFont font("Mangal",12, QFont::Bold, false);

for(int i = ascii_counter; i<91; i++)
QPixmap pix(20,20);
QPainter p(&pix);
p.drawText(QPoint(3,18), QString(QChar(i)));
pix.toImage().convertToFormat(QImage::Format_Mono); "img_"+ QString::number(i) +".bmp");

Similarly, I generated images for lower case characters a-z and numerals 0-9. I used the image size as 20x20px, just because I feel they were sufficiently good for comparison. Besides, the bigger the resolution, the bigger the size of the images!
Note, I also experimented with the font that is used to generate these images. I am using Mangal, size 12, Bold font here, but we can generate the character set for multiple fonts if we want our engine to be more efficient. For example, Lucida Console handwriting font would be good for running handwriting.

Now, to compare the user scribbled image (let’s load it in desImg) with the images that I generated. Here’s how I’ll do the comparison,

QPixmap recalculateResult()
QPainter::CompositionMode mode = QPainter::CompositionMode_Screen;

QPainter painter(&resImg);
painter.fillRect(resImg.rect(), Qt::transparent);
painter.drawImage(0, 0, desImg);
painter.drawImage(0, 0, sourceImg);
painter.fillRect(resImg.rect(), Qt::white);

return QPixmap::fromImage(resImg);

Generated Images

Continue reading

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Scribble-pad for my Handwriting recognition project!

In my first blog post, I mentioned about my interest to work on handwriting recognition. I’ve been working on it since quite some time now, just didn’t get time to post intermittently. I thought it’s a good time to publish what I’ve been doing on this hobbistic project of mine.

In this post, I’ll share one way of accepting user input i.e. by building a scribble pad. This is one of the most intuitive ways of capturing user input for further processing.

So I decided to create a scribble-pad myself, and what better development technology could I use than Qt and QML. (Fyi, using Qt and QML in an application – gives a Qt Quick application, as they call it)  So, today I’ll be talking about this scribble-pad component in my handwriting recognition exploration.

Here’s how the scribble-pad is finally going to look like! I didn’t concentrate much on the UI part of the scribble pad, but it works well on a mobile device too – I’ve been testing it on Nokia C7.

Let’s now get into the technical implementation of the scribble-pad. The UI of the application is written with QML while some of the engine part (like saving the painted image) is done with Qt.
Continue reading

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Basic image processing – Qt to WP7 transition

This article explains the basic image processing both in Qt and Windows phone 7.

The following tasks are performed:

  1. Opening an image from the Gallery
  2. Edit the image / Adding a frame to the image
  3. Saving the modified image

Qt Implementation

To open gallery with Qt, Qt Mobility provides the gallery module which needs to be imported.

import 1.1

The .pro file also needs the following configurations for accessing the gallery module,

CONFIG += mobility
MOBILITY = gallery

To access gallery either use QML DocumentGalleryModel Element or QDocumentGaller for Qt. The DocumentGalleryModel provides a media model to be used with one of the View elements.

GridView {
	anchors.fill: parent
	cellWidth: 128
	cellHeight: 128

	model: DocumentGalleryModel {
		rootType: DocumentGallery.Image
		properties: [ "url" ]

	delegate: Image {
		source: url
		width: 128
		height: 128
			onClicked: console.log(url)

DocumentGalleryModel also supports other media type like Audio, and it can be accessed by changing the rootType,

rootType: DocumentGallery.Image

Continue reading

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This week I have been working on a game. Finally here’s the first version of the game which I decided to call GWhacko( yeah, GWhacko!)

GWhacko is a game developed for Nokia devices. It is developed using Qt SDK 1.1 The game uses basic concepts like the Timer, image switching and view switching.

You click the bad guys and whack them while making sure you do not whack the good fellas.

Here’s a video of GWhacko in action

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Contributor of the Month – December

Hello everyone!

Recently, Nokia Developer has selected  me as the Contributor of the Month for December for my contributions in the Nokia Maps category.

Thank you Nokia Developer for this title and the wonderful Nokia Lumia 800.

Refer to my articles: MapPlacesDemoMyMapDemo

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MapPlacesDemo – Plotting multiple POI on Nokia Maps

Hello everyone!

As discussed in my previous post, I’d now talk about my new open source QtQuick projectMapPlacesDemo  which is a part of Location Demos on Nokia Developer Projects.

MapPlacesDemo is a QtQuick application developed using Qt SDK 1.1. The app uses the current position of the user (lat-long from the integrated GPS receiver), get the places / points of interest (POI) around the user within 1 km range and displays them on map – using Nokia Map Image API. The app also gives the user more details like type, vicinity, etc of the point of interest; and flexibility to see each POI individually on map.

MapPlacesDemo Screens

To learn about the development of MapPlacesDemo refer to my wiki article.

Below is a video of MapPlacesDemo in action.

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